Katsuhiro Honda

230 papers A* 1B 82C 4Misc 4Journal 44Unranked 86

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	A Local PCA Model Induced from Linear Fuzzy Clustering with Cluster Separation. IUKM (1) Katsuhiro Honda, Daichi Machida, Seiki Ubukata, Akira Notsu
2025	B	`conf`	Comparative Study on Influences of False Negative Ratings in Collaborative Filtering with Fuzzy Co-Clustering. KES Katsuhiro Honda, Jun-Seo Lee, Seiki Ubukata, Akira Notsu
2025	B	`conf`	Distribution-Guided Hybridization of JADE and Nelder-Mead for Efficient Global Optimization under Evaluation Constraints. KES Yuta Takahashi, Akira Notsu, Katsuhiro Honda
2025	—	`ed.`	Integrated Uncertainty in Knowledge Modelling and Decision Making - 11th International Symposium, IUKM 2025, Ho Chi Minh City, Vietnam, March 17-19, 2025, Proceedings, Part I IUKM (1) Van-Nam Huynh, Katsuhiro Honda, Bac Le, Masahiro Inuiguchi, Hieu Trung Huynh
2025	—	`ed.`	Integrated Uncertainty in Knowledge Modelling and Decision Making - 11th International Symposium, IUKM 2025, Ho Chi Minh City, Vietnam, March 17-19, 2025, Proceedings, Part II IUKM (2) Van-Nam Huynh, Katsuhiro Honda, Bac Le, Masahiro Inuiguchi, Hieu Trung Huynh
2025	B	`conf`	Online Learning Approach for Rough Set C-Means Clustering Using Nodes Approximating the Data Distribution. IJCNN Seiki Ubukata, Ryoga Hanafusa, Katsuhiro Honda
2024	B	`conf`	Control of JADE Population in Limited Number of Searches for Realistic Situations. CEC Tomoya Matsuki, Akira Notsu, Katsuhiro Honda, Takuya Kato, Masakazu Shibahara
2024	—	`conf`	Extension of Fuzzy c-Lines Considering Compactness and Separation of Clusters. SCIS/ISIS Katsuhiro Honda, Daichi Machida, Seiki Ubukata, Akira Notsu
2024	B	`conf`	FCM-Induced Switching Reinforcement Learning for Collaborative Learning. IJCNN Katsuhiro Honda, Taimu Yaotome, Seiki Ubukata, Akira Notsu
2024	Misc	`conf`	Federated Rough C-Means Clustering and Its Application to Collaborative Filtering. ICMLC Seiki Ubukata, Shuichiro Yamashita, Katsuhiro Honda
2024	Misc	`conf`	Spherical Rough C-Means Clustering and Its Application to Collaborative Filtering. ICMLC Seiki Ubukata, Daiki Io, Katsuhiro Honda
2024	—	`conf`	Utilization of Genre Information in Collaborative Filtering by Three-mode Fuzzy Co-Clustering. SCIS/ISIS Katsuhiro Honda, Haruto Miwa, Seiki Ubukata, Akira Notsu
2023	—	`conf`	A Federated Learning Model for Linear Fuzzy Clustering with Least Square Criterion. IUKM (2) Katsuhiro Honda, Ryosuke Amejima
2023	J	`jnl`	A comparative study on effects of some exclusive conditions in fuzzy co-clustering for collaborative filtering. J. Ambient Intell. Humaniz. Comput. Katsuhiro Honda, Seiki Ubukata, Akira Notsu
2023	—	`conf`	FCM-Induced Switching Fuzzy Factorization Machine for Collaborative Filtering. FUZZ Rikuto Daido, Katsuhiro Honda, Seiki Ubukata, Akira Notsu
2023	—	`conf`	Handling of Component-Wise Noise in ANFIS Induced by Ellipsoidal Fuzzy Clustering. FUZZ Katsuhiro Honda, Ryuta Kurahashi, Seiki Ubukata, Akira Notsu
2023	—	`ed.`	Integrated Uncertainty in Knowledge Modelling and Decision Making - 10th International Symposium, IUKM 2023, Kanazawa, Japan, November 2-4, 2023, Proceedings, Part I IUKM (1) Van-Nam Huynh, Bac Le, Katsuhiro Honda, Masahiro Inuiguchi, Youji Kohda
2023	—	`ed.`	Integrated Uncertainty in Knowledge Modelling and Decision Making - 10th International Symposium, IUKM 2023, Kanazawa, Japan, November 2-4, 2023, Proceedings, Part II IUKM (2) Katsuhiro Honda, Bac Le, Van-Nam Huynh, Masahiro Inuiguchi, Youji Kohda
2023	—	`conf`	Predicting Stock Price Fluctuations Considering the Sunny Effect. IUKM (2) Kenta Nakaniwa, Tomoya Matsuki, Makishi Iguchi, Akira Notsu, Katsuhiro Honda
2022	—	`conf`	A Comparative Study on Utilization of Semantic Information in Fuzzy Co-clustering. IUKM Yusuke Takahata, Katsuhiro Honda, Seiki Ubukata
2022	B	`conf`	A Noise Clustering-induced Robust Adaptive Network-based Fuzzy Inference System for Classification. IJCNN Katsuhiro Honda, Koki Kitamori, Seiki Ubukata, Akira Notsu
2022	—	`conf`	Adaptive Online Rough C-Means Clustering and Its Application to Collaborative Filtering. SSCI Seiki Ubukata, Tomohiro Kawakami, Katsuhiro Honda
2022	—	`conf`	Basic Consideration of Collaborative Filtering Based on Rough Co-clustering Induced by Multinomial Mixture Models. SCIS/ISIS Seiki Ubukata, Kenryu Mouri, Katsuhiro Honda
2022	—	`conf`	Fuzzy c-Lines for Vertically Distributed Database with Missing Values. SCIS/ISIS Kohei Kunisawa, Katsuhiro Honda, Seiki Ubukata, Akira Notsu
2022	—	`conf`	Handling of Missing Values in FCM Clustering-based ANFIS with Partial Distance Strategy. SCIS/ISIS Katsuhiro Honda, Satoshi Hyakutake, Seiki Ubukata, Akira Notsu
2022	—	`ed.`	Integrated Uncertainty in Knowledge Modelling and Decision Making - 9th International Symposium, IUKM 2022, Ishikawa, Japan, March 18-19, 2022, Proceedings IUKM Katsuhiro Honda, Tomoe Entani, Seiki Ubukata, Van-Nam Huynh, Masahiro Inuiguchi
2022	—	`conf`	Noise Fuzzy Clustering-Based Robust Non-negative Matrix Factorization with I-divergence Criterion. IUKM Akira Okabe, Katsuhiro Honda, Seiki Ubukata
2021	B	`conf`	Fuzzy KES Katsuhiro Honda, Kohei Kunisawa, Seiki Ubukata, Akira Notsu
2021	—	`conf`	Fuzzy Clustering-based Switching Non-negative Matrix Factorization and Its Application to Environmental Data Analysis. IFSA/EUSFLAT/AGOP Katsuhiro Honda, T. Furukawa, Seiki Ubukata, Akira Notsu
2021	—	`conf`	Fuzzy-Possibilistic Clustering for Categorical Multivariate Data. SICE Katsuhiro Honda, Kosuke Hayashi, Seiki Ubukata, Akira Notsu
2021	J	`jnl`	Objective function-based rough membership C-means clustering. Inf. Sci. Seiki Ubukata, Akira Notsu, Katsuhiro Honda
2021	J	`jnl`	Three-Mode Fuzzy Co-Clustering Based on Probabilistic Concept and Comparison with FCM-Type Algorithms. J. Adv. Comput. Intell. Intell. Informatics Katsuhiro Honda, Issei Hayashi, Seiki Ubukata, Akira Notsu
2020	A*	`conf`	A Comparative Study on Three-mode Fuzzy Co-clustering Based on Co-occurrence Aggregation Criteria. CcS Katsuhiro Honda, Issei Hayashi, Seiki Ubukata, Akira Notsu
2020	J	`jnl`	A Heuristic-Based Model for MMMs-Induced Fuzzy Co-Clustering with Dual Exclusive Partition. J. Adv. Comput. Intell. Intell. Informatics Katsuhiro Honda, Yoshiki Hakui, Seiki Ubukata, Akira Notsu
2020	B	`conf`	A Noise Rejection Mechanism for pLSA-induced Fuzzy Co-clustering. FUZZ-IEEE Katsuhiro Honda, Keita Hoshii, Seiki Ubukata, Akira Notsu
2020	—	`conf`	Basic Consideration of Co-Clustering Based on Rough Set Theory. IUKM Seiki Ubukata, Narihira Nodake, Akira Notsu, Katsuhiro Honda
2020	—	`conf`	Basic Consideration of Collaborative Filtering Based on Rough C-Means Clustering. SCIS/ISIS Seiki Ubukata, Shu Takahashi, Akira Notsu, Katsuhiro Honda
2020	—	`conf`	Basic Consideration of Rough C-Medoids Clustering with Minkowski Distance. SCIS/ISIS Seiki Ubukata, Atsushi Sugimoto, Akira Notsu, Katsuhiro Honda
2020	J	`jnl`	Noise Rejection Approaches for Various Rough Set-Based J. Adv. Comput. Intell. Intell. Informatics Seiki Ubukata, Sho Sekiya, Akira Notsu, Katsuhiro Honda
2020	J	`jnl`	Online state space generation by a growing self-organizing map and differential learning for reinforcement learning. Appl. Soft Comput. Akira Notsu, Koji Yasuda, Seiki Ubukata, Katsuhiro Honda
2020	B	`conf`	Proposal of Adaptive Randomness in Differential Evolution. CEC Junya Tsubamoto, Akira Notsu, Seiki Ubukata, Katsuhiro Honda
2020	—	`conf`	Randomness Selection in Differential Evolution Using Thompson Sampling. SCIS/ISIS Akira Notsu, Junya Tsubamoto, Yuichi Miyahira, Seiki Ubukata, Katsuhiro Honda
2020	—	`conf`	SOM-Based Visualization of Potential Technical Solutions with Fuzzy Bag-of-Words Utilizing Multi-view Information. IUKM Yasushi Nishida, Katsuhiro Honda
2020	J	`jnl`	Visualization of Potential Technical Solutions by SOM and Co-Clustering and its Extension to Multi-View Situation. J. Adv. Comput. Intell. Intell. Informatics Yasushi Nishida, Katsuhiro Honda
2019	—	`conf`	A Comparative Study on Questionnaire Design for Categorization Based on Fuzzy Co-clustering Concept and Multi-view Possibilistic Partition. iFUZZY Ruixin Yang, Katsuhiro Honda, Seiki Ubukata, Akira Notsu
2019	—	`conf`	A Comparative Study on SOM-Based Visualization of Potential Technical Solutions Using Fuzzy Bag-of-Words and Co-occurrence Probability of Technical Words. IUKM Yasushi Nishida, Katsuhiro Honda
2019	—	`conf`	Comparison of Gradient Descent Methods in Online Fuzzy Co-clustering. iFUZZY Keiko Kida, Seiki Ubukata, Akira Notsu, Katsuhiro Honda
2019	J	`jnl`	Designation of Candidate Solutions in Differential Evolution Based on Bandit Algorithm and its Evaluation. J. Adv. Comput. Intell. Intell. Informatics Masaya Sakakibara, Akira Notsu, Seiki Ubukata, Katsuhiro Honda
2019	—	`conf`	Effects of Semi-supervised Learning on Rough Membership C- Means Clustering. iFUZZY Takeaki Shimizu, Seiki Ubukata, Akira Notsu, Katsuhiro Honda
2019	—	`conf`	Fuzzy Co-clustering for Categorization of Subjects in Questionnaire Considering Responsibility of Each Question. IUKM Katsuhiro Honda, Ruixin Yang, Seiki Ubukata, Akira Notsu
2019	—	`conf`	Fuzzy c-Regression Models with Cluster Characteristics Clarification. iFUZZY Shinpei Nasada, Katsuhiro Honda, Seiki Ubukata, Akira Notsu
2019	—	`conf`	Robust Non-negative Matrix Factorization Based on Noise Fuzzy Clustering Mechanism. AICCC Masaaki Ueno, Katsuhiro Honda, Seiki Ubukata, Akira Notsu
2018	—	`conf`	Automatic Estimation of Cluster Number in Fuzzy Co-Clustering Based on Competition and Elimination of Clusters. SCIS&ISIS Seiki Ubukata, Kazuki Yanagisawa, Akira Notsu, Katsuhiro Honda
2018	—	`conf`	Basic Consideration of Online and Mini-Batch Algorithms for MMMs-induced Fuzzy Co-clustering. iFUZZY Seiki Ubukata, Akira Notsu, Keiko Kida, Katsuhiro Honda
2018	J	`jnl`	Characteristics of Rough Set J. Adv. Comput. Intell. Intell. Informatics Seiki Ubukata, Keisuke Umado, Akira Notsu, Katsuhiro Honda
2018	J	`jnl`	Deterministic annealing process for pLSA-induced fuzzy co-clustering and cluster splitting characteristics. Int. J. Approx. Reason. Takafumi Goshima, Katsuhiro Honda, Seiki Ubukata, Akira Notsu
2018	—	`conf`	Effects of Semi-supervised Learning on Rough Set-Based C-Means Clustering. iFUZZY Seiki Ubukata, Takeaki Shimizu, Akira Notsu, Katsuhiro Honda
2018	J	`jnl`	MMMs-Induced Possibilistic Fuzzy Co-Clustering and its Characteristics. J. Adv. Comput. Intell. Intell. Informatics Seiki Ubukata, Katsuya Koike, Akira Notsu, Katsuhiro Honda
2018	B	`conf`	Optimization of Learning Cycles in Online Reinforcement Learning Systems. SMC Akira Notsu, Koji Yasuda, Seiki Ubukata, Katsuhiro Honda
2018	B	`conf`	Privacy Preserving Collaborative Fuzzy Co-clustering of Three-Mode Cooccurrence Data. MDAI Katsuhiro Honda, Shotaro Matsuzaki, Seiki Ubukata, Akira Notsu
2018	J	`jnl`	Rough Set-Based Clustering Utilizing Probabilistic Memberships. J. Adv. Comput. Intell. Intell. Informatics Seiki Ubukata, Hiroki Kato, Akira Notsu, Katsuhiro Honda
2018	—	`conf`	Setting of Candidate Solutions Considering Confidence Intervals in Differential Evolution. iFUZZY Akira Notsu, Masaya Sakakibara, Seiki Ubukata, Katsuhiro Honda
2018	J	`jnl`	Solving data preprocessing problems in existing location-aware systems. J. Ambient Intell. Humaniz. Comput. Toly Chen, Katsuhiro Honda
2018	J	`jnl`	Visual Co-Cluster Assessment with Intuitive Cluster Validation Through Cooccurrence-Sensitive Ordering. J. Adv. Comput. Intell. Intell. Informatics Katsuhiro Honda, Takuya Sako, Seiki Ubukata, Akira Notsu
2018	—	`conf`	Visualization of Potential Technical Solutions by Self-Organizing Maps and Co-Cluster Extraction. SCIS&ISIS Yasushi Nishida, Katsuhiro Honda
2017	B	`conf`	A fuzzy co-clustering model for three-modes relational cooccurrence data. FUZZ-IEEE Katsuhiro Honda, Yurina Suzuki, Mio Nishioka, Seiki Ubukata, Akira Notsu
2017	—	`conf`	A novel approach to noise clustering in multivariate fuzzy c-Means. IFSA-SCIS Katsuhiro Honda, Seiki Ubukata, Akira Notsu
2017	J	`jnl`	FCM-Type Fuzzy Coclustering for Three-Mode Cooccurrence Data: 3FCCM and 3Fuzzy CoDoK. Adv. Fuzzy Syst. Katsuhiro Honda, Yurina Suzuki, Seiki Ubukata, Akira Notsu
2017	—	`conf`	Fuzzy Clustering/Co-clustering and Probabilistic Mixture Models-Induced Algorithms. Fuzzy Sets, Rough Sets, Multisets and Clustering Katsuhiro Honda
2017	J	`jnl`	Noise Rejection in MMMs-Induced Fuzzy Co-Clustering. J. Adv. Comput. Intell. Intell. Informatics Katsuhiro Honda, Nami Yamamoto, Seiki Ubukata, Akira Notsu
2017	B	`conf`	Noise rejection schemes for FCM-type co-clustering based on uniform noise distribution. FUZZ-IEEE Nami Yamamoto, Katsuhiro Honda, Seiki Ubukata, Akira Notsu
2017	—	`conf`	Possibilistic co-clustering based on extension of noise rejection scheme in FCCMM. IFSA-SCIS Seiki Ubukata, Katsuya Koike, Akira Notsu, Katsuhiro Honda
2017	—	`conf`	Visual assessment of co-cluster structure through cooccurrence-sensitive ordering. IFSA-SCIS Katsuhiro Honda, Takuya Sako, Seiki Ubukata, Akira Notsu
2016	—	`conf`	A Noise Fuzzy Co-Clustering Scheme in MMMs-Induced Clustering. SCIS&ISIS Katsuhiro Honda, Nami Yamamoto, Seiki Ubukata, Akira Notsu
2016	J	`jnl`	A Semi-Supervised Framework for MMMs-Induced Fuzzy Co-Clustering with Virtual Samples. Adv. Fuzzy Syst. Daiji Tanaka, Katsuhiro Honda, Seiki Ubukata, Akira Notsu
2016	—	`conf`	A Study on Recommendation Ability in Collaborative Filtering by Fuzzy Co-Clustering with Exclusive Item Partition. SCIS&ISIS Takaya Nakano, Katsuhiro Honda, Seiki Ubukata, Akira Notsu
2016	B	`conf`	A fuzzy co-clustering interpretation of probabilistic latent semantic analysis. FUZZ-IEEE Katsuhiro Honda, Takafumi Goshima, Seiki Ubukata, Akira Notsu
2016	—	`conf`	Application of the UCT Algorithm for Noisy Optimization Problems. SCIS&ISIS Akira Notsu, Satoshi Kane, Seiki Ubukata, Katsuhiro Honda
2016	—	`conf`	Cluster Validation in Multinomial Mixtures-Induced Fuzzy Co-Clustering. SCIS&ISIS Katsuhiro Honda, Yurina Suzuki, Seiki Ubukata, Akira Notsu
2016	—	`conf`	Exclusive Item Partition with Fuzziness Tuning in MMMs-Induced Fuzzy Co-clustering. IUKM Takaya Nakano, Katsuhiro Honda, Seiki Ubukata, Akira Notsu
2016	—	`conf`	Fuzzy Co-Clustering and Application to Collaborative Filtering. IUKM Katsuhiro Honda
2016	—	`conf`	Fuzzy DA Clustering-Based Improvement of Probabilistic Latent Semantic Analysis. IUKM Takafumi Goshima, Katsuhiro Honda, Seiki Ubukata, Akira Notsu
2016	B	`conf`	MMMs-induced k-member co-clustering for k-anonymization of cooccurrence information. IJCNN Katsuhiro Honda, Hikaru Sakamoto, Seiki Ubukata, Akira Notsu
2016	—	`conf`	The Rough Membership k-Means Clustering. IUKM Seiki Ubukata, Akira Notsu, Katsuhiro Honda
2016	—	`conf`	The Rough Set k-Means Clustering. SCIS&ISIS Seiki Ubukata, Akira Notsu, Katsuhiro Honda
2016	J	`jnl`	Visualization of Learning Process in "State and Action" Space Using Self-Organizing Maps. J. Adv. Comput. Intell. Intell. Informatics Akira Notsu, Yuichi Hattori, Seiki Ubukata, Katsuhiro Honda
2015	J	`jnl`	A Collaborative Framework for Privacy Preserving Fuzzy Co-Clustering of Vertically Distributed Cooccurrence Matrices. Adv. Fuzzy Syst. Katsuhiro Honda, Toshiya Oda, Daiji Tanaka, Akira Notsu
2015	—	`conf`	A Deterministic Clustering Framework in MMMs-Induced Fuzzy Co-clustering. IUKM Shunnya Oshio, Katsuhiro Honda, Seiki Ubukata, Akira Notsu
2015	—	`conf`	A study on fuzzy clustering-based k-anonymization for privacy preserving crowd movement analysis with face recognition. SoCPaR Katsuhiro Honda, Masahiro Omori, Seiki Ubukata, Akira Notsu
2015	—	`conf`	A study on fuzzy co-clustering with partial supervision and virtual samples. TAAI Daiji Tanaka, Katsuhiro Honda, Seiki Ubukata, Akira Notsu
2015	—	`conf`	An Ensemble Learning Approach Based on Missing-Valued Tables. RSFDGrC Seiki Ubukata, Taro Miyazaki, Akira Notsu, Katsuhiro Honda, Masahiro Inuiguchi
2015	—	`conf`	An Ensemble Learning Approach Based on Rough Set Preserving the Qualities of Approximations. IUKM Seiki Ubukata, Taro Miyazaki, Akira Notsu, Katsuhiro Honda, Masahiro Inuiguchi
2015	—	`conf`	FCM-Type Co-clustering Transfer Reinforcement Learning for Non-Markov Processes. IUKM Akira Notsu, Takanori Ueno, Yuichi Hattori, Seiki Ubukata, Katsuhiro Honda
2015	J	`jnl`	Fuzzy Co-Clustering Induced by Multinomial Mixture Models. J. Adv. Comput. Intell. Intell. Informatics Katsuhiro Honda, Shunnya Oshio, Akira Notsu
2015	—	`conf`	Fuzzy co-clustering considering site-wise confidence of vertically partitioned cooccurrence data. TAAI Toshiya Oda, Katsuhiro Honda, Seiki Ubukata, Akira Notsu
2015	—	`conf`	MMMs-Induced Fuzzy Co-clustering with Exclusive Partition Penalty on Selected Items. IUKM Takaya Nakano, Katsuhiro Honda, Seiki Ubukata, Akira Notsu
2015	J	`jnl`	Partially Exclusive Item Partition in MMMs-Induced Fuzzy Co-Clustering and its Effects in Collaborative Filtering. J. Adv. Comput. Intell. Intell. Informatics Katsuhiro Honda, Takaya Nakano, Chi-Hyon Oh, Seiki Ubukata, Akira Notsu
2015	C	`conf`	Performance Investigation of UCB Policy in Q-learning. ICMLA Koki Saito, Akira Notsu, Seiki Ubukata, Katsuhiro Honda
2015	—	`conf`	Proposal of Grid Area Search with UCB for Discrete Optimization Problem. IUKM Akira Notsu, Koki Saito, Yuhumi Nohara, Seiki Ubukata, Katsuhiro Honda
2014	—	`conf`	A comparative study on clustering-based group scenario summarization in AHP. SCIS&ISIS Akira Suwa, Katsuhiro Honda, Akira Notsu, Tomoe Entani
2014	—	`conf`	Alternative fuzzy c-regression models with tolerance. SCIS&ISIS Shunsuke Iwata, Katsuhiro Honda, Akira Notsu
2014	C	`conf`	Application of xie-beni-type validity index to fuzzy co-clustering models based on cluster aggregation and pseudo-cluster-center estimation. ISDA Mai Muranishi, Katsuhiro Honda, Akira Notsu
2014	—	`conf`	Discounted UCB1-tuned for Q-learning. SCIS&ISIS Koki Saito, Akira Notsu, Katsuhiro Honda
2014	—	`conf`	Epidemie process simulator by multi agent simulation considering urban models. SCIS&ISIS Yuichi Hattori, Akira Notsu, Katsuhiro Honda
2014	—	`conf`	Exclusive condition on item partition in fuzzy co-clustering based on K-L information regularization. SCIS&ISIS Katsuhiro Honda, Chi-Hyon Oh, Akira Notsu
2014	B	`conf`	FCM-type fuzzy co-clustering by K-L information regularization. FUZZ-IEEE Katsuhiro Honda, Shunnya Oshio, Akira Notsu
2014	—	`ch.`	Fuzzy c-Regression Models Based on Optimal Scaling of Categorical Observation with Tolerance. Soft Computing in Artificial Intelligence Shunsuke Iwata, Katsuhiro Honda, Akira Notsu
2014	B	`conf`	Fuzzy co-clustering of vertically partitioned cooccurrence data with privacy consideration. FUZZ-IEEE Katsuhiro Honda, Toshiya Oda, Akira Notsu
2014	—	`ch.`	Handling Very Large Cooccurrence Matrices in Fuzzy Co-clustering by Sampling Approaches. Soft Computing in Artificial Intelligence Katsuhiro Honda, Akira Notsu, Chi-Hyon Oh
2014	J	`jnl`	Improvement of PCA-Based Approximate Nearest Neighbor Search Using Distance Statistics. J. Adv. Comput. Intell. Intell. Informatics Toshiro Ogita, Hidetomo Ichihashi, Akira Notsu, Katsuhiro Honda
2014	B	`conf`	Incremental algorithms for fuzzy co-clustering of very large cooccurrence matrix. FUZZ-IEEE Katsuhiro Honda, Daiji Tanaka, Akira Notsu
2014	Misc	`conf`	Item membership fuzzification in fuzzy co-clustering based on multinomial mixture concept. GrC Katsuhiro Honda, Shunnya Oshio, Akira Notsu
2014	J	`jnl`	Performance Comparison of Collaborative Filtering with k-Anonymized Data by Fuzzy k-Member Clustering. J. Adv. Comput. Intell. Intell. Informatics Arina Kawano, Katsuhiro Honda, Akira Notsu, Hidetomo Ichihashi
2014	—	`conf`	Privacy preserving fuzzy co-clustering with distributed cooccurrence matrices. SCIS&ISIS Daiji Tanaka, Toshiya Oda, Katsuhiro Honda, Akira Notsu
2014	—	`conf`	Utility of Turning Spot Learning under complex goal search and the limit of memory usage. SCIS&ISIS Yuki Tezuka, Akira Notsu, Katsuhiro Honda
2014	—	`ch.`	Xie-Beni-Type Fuzzy Cluster Validation in Fuzzy Co-clustering of Documents and Keywords. Soft Computing in Artificial Intelligence Mai Muranishi, Katsuhiro Honda, Akira Notsu
2013	B	`conf`	A Greedy Algorithm for k-Member Co-clustering and its Applicability to Collaborative Filtering. KES Arina Kawano, Katsuhiro Honda, Hirohide Kasugai, Akira Notsu
2013	B	`conf`	A cluster validity index for FCM-type co-clustering. FUZZ-IEEE Mai Muranishi, Katsuhiro Honda, Akira Notsu, Hidetomo Ichihashi
2013	B	`conf`	A study on applicability of fuzzy k-member clustering to privacy preserving pattern recognition. FUZZ-IEEE Hirohide Kasugai, Arina Kawano, Katsuhiro Honda, Akira Notsu
2013	—	`conf`	Applicability of ICA-Based Dimension Reduction in Fuzzy c-Means-Based Classifier. ICONIP (3) Takuya Kobayashi, Katsuhiro Honda, Akira Notsu, Hidetomo Ichihashi
2013	B	`conf`	Dual Exclusive Partition in Fuzzy CoDoK and SCAD-based Fuzzy Co-clustering. KES Chi-Hyon Oh, Katsuhiro Honda
2013	B	`conf`	Fuzzy c-Regression Models with direction-dependent uncertainty and its application to residential solar electric power analysis. FUZZ-IEEE Shunsuke Iwata, Katsuhiro Honda, Akira Notsu, Hidetomo Ichihashi
2013	B	`conf`	Intergration of Information based on the Similarity in AHP. KES Akira Notsu, Hirokazu Kawakami, Yuki Tezuka, Katsuhiro Honda
2013	B	`conf`	Intrinsic scenario estimation by noise fuzzy clustering in group decision making. FUZZ-IEEE Akira Suwa, Katsuhiro Honda, Akira Notsu, Tomoe Entani
2013	B	`conf`	Introduction of Majority Vote of Neighborhood Conditions for Sneak form Reinforcement Learning. KES Yuki Tezuka, Akira Notsu, Katsuhiro Honda
2013	J	`jnl`	Visualization of Non-Euclidean Relational Data by Robust Linear Fuzzy Clustering Based on FCMdd Framework. J. Adv. Comput. Intell. Intell. Informatics Katsuhiro Honda, Takeshi Yamamoto, Akira Notsu, Hidetomo Ichihashi
2012	—	`conf`	A Study on Privacy Preserving Collaborative Filtering with Data Anonymization by Clustering. IIMSS Katsuhiro Honda, Yui Matsumoto, Arina Kawano, Akira Notsu, Hidetomo Ichihashi
2012	B	`conf`	A fuzzy variant of k-member clustering for collaborative filtering with data anonymization. FUZZ-IEEE Katsuhiro Honda, Arina Kawano, Akira Notsu, Hidetomo Ichihashi
2012	B	`conf`	Alternative fuzzy c-lines and comparison with noise clustering in cluster validation. FUZZ-IEEE Katsuhiro Honda, Sakuya Nakao, Akira Notsu, Hidetomo Ichihashi
2012	B	`conf`	Application of cluster validity criteria to Rock-Paper-Scissors game judgment. FUZZ-IEEE Yui Matsumoto, Takeshi Yamamoto, Katsuhiro Honda, Akira Notsu, Hidetomo Ichihashi
2012	J	`jnl`	Automatic Adaptive Space Segmentation for Reinforcement Learning. Int. J. Fuzzy Log. Intell. Syst. Yuki Komori, Akira Notsu, Katsuhiro Honda, Hidetomo Ichihashi
2012	—	`conf`	Cluster validation in k-Means clustering of mixed databases based on principal component analysis. SCIS&ISIS Ryoichi Nonoguchi, Katsuhiro Honda, Akira Notsu, Hidetomo Ichihashi
2012	—	`conf`	Comparison on membership functions in fuzzy k-member clustering for data anonymization. SCIS&ISIS Arina Kawano, Katsuhiro Honda, Akira Notsu, Hidetomo Ichihashi
2012	—	`conf`	FCM-type co-clustering of categorical multivariate data with exclusive partition. SCIS&ISIS Yui Matsumoto, Katsuhiro Honda, Akira Notsu, Hidetomo Ichihashi
2012	—	`conf`	FCM-type co-clustering with exclusive partition of selected items and application to collaborative filtering. SCIS&ISIS Katsuhiro Honda, Chi-Hyon Oh, Akira Notsu, Hidetomo Ichihashi
2012	B	`conf`	Group decision support by interval AHP with uncertainty-based hierarchical clustering. FUZZ-IEEE Tomoe Entani, Katsuhiro Honda
2012	B	`conf`	Improvement by sorting and thresholding in PCA based nearest neighbor search. FUZZ-IEEE Hidetomo Ichihashi, Toshiro Ogita, Katsuhiro Honda, Akira Notsu
2012	—	`conf`	Information compression effect based on PCA for reinforcement learning agents' communication. SCIS&ISIS Akira Notsu, Katsuhiro Honda, Hidetomo Ichihashi, Ayaka Ido, Yuki Komori
2012	—	`conf`	Mixed usage of MATLAB and visual C for improving classification time and training time of FCM classifier. SCIS&ISIS Takuya Kobayashi, Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu
2012	—	`conf`	PCA-Tree NNS with two approximation methods and annulus bound method. SCIS&ISIS Hidetomo Ichihashi, Toshiro Ogita, Akira Notsu, Katsuhiro Honda
2012	—	`conf`	Reinforcement learning with particles for instant optimality. SCIS&ISIS Tsuyoshi Beppu, Akira Notsu, Katsuhiro Honda, Hidetomo Ichihashi
2012	—	`conf`	Robust local subspace learning by linear fuzzy clustering with Alternative c-Means criterion. SCIS&ISIS Sakuya Nakao, Katsuhiro Honda, Akira Notsu, Hidetomo Ichihashi
2012	—	`conf`	Template-based fuzzy clustering with cluster-wise coordinate transformation. SCIS&ISIS Katsuhiro Honda, Shotaro Osaka, Akira Notsu, Hidetomo Ichihashi
2011	J	`jnl`	A Comparative Study on TIBA Imputation Methods in FCMdd-Based Linear Clustering with Relational Data. Adv. Fuzzy Syst. Takeshi Yamamoto, Katsuhiro Honda, Akira Notsu, Hidetomo Ichihashi
2011	B	`conf`	A study on regularization effects of fuzzified memberships in FCM clustering. FUZZ-IEEE Katsuhiro Honda, Yui Matsumoto, Akira Notsu, Hidetomo Ichihashi
2011	J	`jnl`	Alternative fuzzy c-lines and local principal component extraction. Int. J. Knowl. Eng. Soft Data Paradigms Katsuhiro Honda, Sakuya Nakao, Akira Notsu, Hidetomo Ichihashi
2011	B	`conf`	Comparison of scaling behavior between fuzzy c-means based classifier with many parameters and LibSVM. FUZZ-IEEE Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu
2011	B	`conf`	Ellipse detection with hard c-regression models and random initializations. FUZZ-IEEE Hidetomo Ichihashi, Li Chieu Lam, Katsuhiro Honda, Akira Notsu
2011	B	`conf`	FCMdd-type linear fuzzy clustering for incomplete non-Euclidean relational data. FUZZ-IEEE Takeshi Yamamoto, Katsuhiro Honda, Akira Notsu, Hidetomo Ichihashi
2011	J	`jnl`	Fuzzy Cluster Validation Based on Fuzzy PCA-Guided Procedure. Int. J. Fuzzy Syst. Appl. Katsuhiro Honda, Akira Notsu, Tomohiro Matsui, Hidetomo Ichihashi
2011	B	`conf`	Hybrid objective function of Fuzzy c-Varieties and cross-shape fuzzy cluster extraction. FUZZ-IEEE Daisuke Yoshida, Katsuhiro Honda, Akira Notsu, Hidetomo Ichihashi
2011	—	`conf`	Improvement of Particle Filter for Reinforcement Learning. ICMLA (1) Akira Notsu, Katsuhiro Honda, Hidetomo Ichihashi, Yuki Komori, Yuuki Iwamoto
2011	B	`conf`	Influence of the space segmentation and its adaptive automation for reinforcement learning. FUZZ-IEEE Akira Notsu, Yuki Komori, Katsuhiro Honda, Hidetomo Ichihashi
2011	J	`jnl`	Non-Euclidean Extension of FCMdd-Based Linear Clustering for Relational Data. J. Adv. Comput. Intell. Intell. Informatics Takeshi Yamamoto, Katsuhiro Honda, Akira Notsu, Hidetomo Ichihashi
2011	B	`conf`	PCA-guided k-Means clustering with incomplete data. FUZZ-IEEE Katsuhiro Honda, Ryoichi Nonoguchi, Akira Notsu, Hidetomo Ichihashi
2011	B	`conf`	Partially exclusive condition for sequential fuzzy co-cluster extraction. FUZZ-IEEE Katsuhiro Honda, Akira Notsu, Hidetomo Ichihashi
2011	B	`conf`	Proposed particle-filtering method for reinforcement learning. FUZZ-IEEE Akira Notsu, Katsuhiro Honda, Hidetomo Ichihashi
2011	—	`conf`	Robust FCMdd-based Linear Clustering for Relational Data with Alternative c-Means Criterion. ICMLA (2) Takeshi Yamamoto, Katsuhiro Honda, Akira Notsu, Hidetomo Ichihashi
2011	—	`conf`	Simple Reinforcement Learning for Small-Memory Agent. ICMLA (1) Akira Notsu, Katsuhiro Honda, Hidetomo Ichihashi, Yuki Komori
2011	J	`jnl`	Variable Weighting in PCA-Guided k-Means and its Connection with Information Summarization. J. Adv. Comput. Intell. Intell. Informatics Katsuhiro Honda, Akira Notsu, Hidetomo Ichihashi
2010	J	`jnl`	Collaborative filtering by sequential user-item co-cluster extraction from rectangular relational data. Int. J. Knowl. Eng. Soft Data Paradigms Katsuhiro Honda, Akira Notsu, Hidetomo Ichihashi
2010	J	`jnl`	Fuzzy PCA-Guided Robust k -Means Clustering. IEEE Trans. Fuzzy Syst. Katsuhiro Honda, Akira Notsu, Hidetomo Ichihashi
2010	—	`conf`	Fuzzy and Semi-hard IUM Hidetomo Ichihashi, Akira Notsu, Katsuhiro Honda
2010	B	`conf`	Improvement in the performance of camera based vehicle detector for parking lot. FUZZ-IEEE Hidetomo Ichihashi, Tatsuya Katada, Makoto Fujiyoshi, Akira Notsu, Katsuhiro Honda
2010	J	`jnl`	Local subspace learning by extended fuzzy c-medoids clustering. Int. J. Knowl. Eng. Soft Data Paradigms Naoki Haga, Katsuhiro Honda, Akira Notsu, Hidetomo Ichihashi
2010	B	`conf`	PCA-guided fuzzy cluster validation with noise rejection. FUZZ-IEEE Katsuhiro Honda, Akira Notsu, Tomohiro Matsui, Hidetomo Ichihashi
2010	B	`conf`	Semi-hard c-means clustering with application to classifier design. FUZZ-IEEE Hidetomo Ichihashi, Akira Notsu, Katsuhiro Honda
2009	B	`conf`	A comparative study on cluster validity criteria in linear fuzzy clustering and pareto optimality analysis. FUZZ-IEEE Katsuhiro Honda, Tomonari Nomaguchi, Akira Notsu, Hidetomo Ichihashi
2009	B	`conf`	A fuzzy model-based community simulator for behavior analysis in virtual theme park. FUZZ-IEEE Chi-Hyon Oh, Katsuhiro Honda, Hidetomo Ichihashi
2009	B	`conf`	Benchmarking parameterized fuzzy c-Means classifier. FUZZ-IEEE Kazuya Nagaura, Hidetomo Ichihashi, Akira Notsu, Katsuhiro Honda
2009	B	`conf`	Cluster validation in k-Means clustering based on PCA-guided k-Means and procrustean transformation of PC scores. FUZZ-IEEE Tomohiro Matsui, Katsuhiro Honda, Chi-Hyon Oh, Akira Notsu, Hidetomo Ichihashi
2009	B	`conf`	Cluster validation in linear fuzzy clustering of relational data from multi-cluster principal coordinate analysis view point. FUZZ-IEEE Naoki Haga, Katsuhiro Honda, Akira Notsu, Hidetomo Ichihashi
2009	B	`conf`	Collaborative filtering by sequential extraction of user-item clusters based on structural balancing approach. FUZZ-IEEE Katsuhiro Honda, Akira Notsu, Hidetomo Ichihashi
2009	B	`conf`	Conceptual graph generation from text documents based on perceptual balance. FUZZ-IEEE Akira Notsu, Katsuhiro Honda, Hidetomo Ichihashi
2009	B	`conf`	Efficiency measurement for agent simulation based on DEA with imprecise data. FUZZ-IEEE Shingo Aoki, Kazushige Inoue, Tomoharu Nakashima, Katsuhiro Honda
2009	B	`conf`	PCA-Guided MDAI Katsuhiro Honda, Akira Notsu, Hidetomo Ichihashi
2009	B	`conf`	Triplet of FCM classifiers. FUZZ-IEEE Hidetomo Ichihashi, Akira Notsu, Katsuhiro Honda
2009	B	`conf`	Vacant parking space detector for outdoor parking lot by using surveillance camera and FCM classifier. FUZZ-IEEE Hidetomo Ichihashi, Akira Notsu, Katsuhiro Honda, Tatsuya Katada, Makoto Fujiyoshi
2009	J	`jnl`	Visualization of balancing systems based on naïve psychological approaches. AI Soc. Akira Notsu, Hidetomo Ichihashi, Katsuhiro Honda, Osamu Katai
2008	Misc	`conf`	A Perceptual Approach to User Clustering in Collaborative Filtering. GrC Katsuhiro Honda, Akira Notsu, Hidetomo Ichihashi
2008	B	`conf`	A new approach to robust k-Means clustering based on fuzzy principal component analysis. IJCNN Katsuhiro Honda, Hiromichi Araki, Tomohiro Matsui, Hidetomo Ichihashi
2008	B	`conf`	Agent-based social simulation based on cognitive economic efficiency. IEEE Congress on Evolutionary Computation Yu Yamamoto, Akira Notsu, Hidetomo Ichihashi, Katsuhiro Honda
2008	—	`book`	Algorithms for Fuzzy Clustering - Methods in c-Means Clustering with Applications Sadaaki Miyamoto, Hidetomo Ichihashi, Katsuhiro Honda
2008	B	`conf`	Classifier of BOLD signals from active and inactive brain states using FCM clustering and evolutionary algorithms. FUZZ-IEEE Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu, Takao Hattori
2008	B	`conf`	FCM classifier for high-dimensional data. FUZZ-IEEE Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu, Eri Miyamoto
2008	B	`conf`	FCM-type switching regression with alternating least squares method. FUZZ-IEEE Katsuhiro Honda, Takahiro Ohyama, Hidetomo Ichihashi, Akira Notsu
2008	B	`conf`	Fuzzy c-means classifier with particle swarm optimization. FUZZ-IEEE Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu, Keiichi Ohta
2008	B	`conf`	Linear fuzzy clustering of relational data based on extended Fuzzy c-Medoids. FUZZ-IEEE Naoki Haga, Katsuhiro Honda, Hidetomo Ichihashi, Akira Notsu
2008	B	`conf`	State and action space segmentation algorithm in Q-learning. IJCNN Akira Notsu, Hidetomo Ichihashi, Katsuhiro Honda
2007	J	`jnl`	A Regularization Approach to Fuzzy Clustering with Nonlinear Membership Weights. J. Adv. Comput. Intell. Intell. Informatics Katsuhiro Honda, Hidetomo Ichihashi
2007	—	`conf`	Aggregation of Standard and Entropy Based Fuzzy c-Means Clustering by a Modified Objective Function. FOCI Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu, Takao Hattori
2007	J	`jnl`	FCM-Type Fuzzy Clustering of Mixed Databases Considering Nominal Variable Quantification. J. Adv. Comput. Intell. Intell. Informatics Katsuhiro Honda, Ryo Uesugi, Hidetomo Ichihashi
2007	C	`conf`	Fuzzy c-Means Classifier for Relational Data. CIDM Hidetomo Ichihashi, Katsuhiro Honda, Yasuhiro Kuramoto, Fumiaki Matsuura
2007	—	`conf`	Fuzzy c-Means Classifier with Deterministic Initialization and Missing Value Imputation. FOCI Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu, Takafumi Yagi
2007	J	`jnl`	Linear Fuzzy Clustering With Selection of Variables Using Graded Possibilistic Approach. IEEE Trans. Fuzzy Syst. Katsuhiro Honda, Hidetomo Ichihashi, Francesco Masulli, Stefano Rovetta
2007	B	`conf`	Linear Fuzzy Clustering of Mixed Databases Based on Cluster-wise Optimal Scaling of Categorical Variables. FUZZ-IEEE Katsuhiro Honda, Ryo Uesugi, Hidetomo Ichihashi, Akira Notsu
2007	C	`conf`	Post-supervised Fuzzy c-Means Classifier with Hard Clustering. CIDM Hidetomo Ichihashi, Katsuhiro Honda, Naho Kuwamoto, Takao Hattori
2007	J	`jnl`	Quantification of Multivariate Categorical Data Considering Typicality of Item. J. Adv. Comput. Intell. Intell. Informatics Chi-Hyon Oh, Katsuhiro Honda, Hidetomo Ichihashi
2006	B	`conf`	A Sequential Learning Algorithm for Collaborative Filtering With Linear Fuzzy Clustering. SMC Katsuhiro Honda, Hidetomo Ichihashi, Akira Notsu
2006	B	`conf`	Agent-Based Simulation About Social Value Emergence Based on Perceptual Balance. SMC Akira Notsu, Hidetomo Ichihashi, Katsuhiro Honda
2006	B	`conf`	Exploratory Approach to fMRI Study with Fuzzy Clustering and General Linear Model. FUZZ-IEEE Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu, Takafumi Kurokawa
2006	J	`jnl`	Fuzzy local independent component analysis with external criteria and its application to knowledge discovery in databases. Int. J. Approx. Reason. Katsuhiro Honda, Hidetomo Ichihashi
2006	B	`conf`	Linear Fuzzy Clustering for Mixed Databases Based on Optimal Scaling. FUZZ-IEEE Ryo Uesugi, Katsuhiro Honda, Hidetomo Ichihashi
2006	B	`conf`	Local Independent Component Analysis with Fuzzy Clustering and Regression-principal Component Analysis. FUZZ-IEEE Tatsuya Maenaka, Katsuhiro Honda, Hidetomo Ichihashi
2006	—	`conf`	Postsupervised Hard RSCTC Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu
2006	B	`conf`	Regularized Discriminant in the Setting of Fuzzy c-Means Classifier. FUZZ-IEEE Hidetomo Ichihashi, Katsuhiro Honda, Takao Hattori
2006	—	`conf`	Several Formulations for Graded Possibilistic Approach to Fuzzy Clustering. RSCTC Katsuhiro Honda, Hidetomo Ichihashi, Akira Notsu, Francesco Masulli, Stefano Rovetta
2006	B	`conf`	Simultaneous Application of PLS Regression and FCM-type Clustering. FUZZ-IEEE Katsuhiro Honda, Hidetomo Ichihashi, Akira Notsu
2005	B	`conf`	A New Approach to Fuzzification of Memberships in Cluster Analysis. MDAI Katsuhiro Honda, Hidetomo Ichihashi
2005	B	`conf`	FCM Clustering from the View Point of Iteratively Reweighted Least Squares. FUZZ-IEEE Hidetomo Ichihashi, Katsuhiro Honda
2005	—	`conf`	Fuzzy c-Means Classifier for Incomplete Data Sets with Outliers and Missing Values. CIMCA/IAWTIC Hidetomo Ichihashi, Katsuhiro Honda
2005	B	`conf`	Graded Possibilistic Approach to Variable Selection in Linear Fuzzy Clustering. FUZZ-IEEE Katsuhiro Honda, Hidetomo Ichihashi, Francesco Masulli, Stefano Rovetta
2005	B	`conf`	Quantification of Multivariate Categorical Data Considering Clusters of Items and Individuals. MDAI Chi-Hyon Oh, Katsuhiro Honda, Hidetomo Ichihashi
2005	J	`jnl`	Regularized Linear Fuzzy Clustering and Probabilistic PCA Mixture Models. IEEE Trans. Fuzzy Syst. Katsuhiro Honda, Hidetomo Ichihashi
2005	B	`conf`	Robust PCA with Intra-Sample Outlier Process Based on Fuzzy Mahalanobis Distances and Noise Clustering. FUZZ-IEEE Hidetomo Ichihashi, Katsuhiro Honda, Noboru Wakami
2004	J	`jnl`	Application of Kernel Trick to Fuzzy c-Means with Regularization by K-L Information. J. Adv. Comput. Intell. Intell. Informatics Hidetomo Ichihashi, Katsuhiro Honda
2004	J	`jnl`	Component-wise robust linear fuzzy clustering for collaborative filtering. Int. J. Approx. Reason. Katsuhiro Honda, Hidetomo Ichihashi
2004	B	`conf`	Detection of local linear structure from data with uncertainties. FUZZ-IEEE Katsuhiro Honda, Hidetomo Ichihashi
2004	B	`conf`	Fuzzy canonical correlation and cluster analysis for brain mapping on long term memory consolidated by mnemonics. FUZZ-IEEE Hidetomo Ichihashi, Katsuhiro Honda, Shoichi Araki
2004	J	`jnl`	Linear fuzzy clustering techniques with missing values and their application to local principal component analysis. IEEE Trans. Fuzzy Syst. Katsuhiro Honda, Hidetomo Ichihashi
2004	B	`conf`	On parameter setting in applying Dave's noise fuzzy clustering to Gaussian mixture models. FUZZ-IEEE Hidetomo Ichihashi, Katsuhiro Honda
2004	J	`jnl`	Simultaneous Application of Fuzzy Clustering and Quantification with Incomplete Categorical Data. J. Adv. Comput. Intell. Intell. Informatics Katsuhiro Honda, Yoshihito Nakamura, Hidetomo Ichihashi
2003	B	`conf`	A unified view of probabilistic PCA and regularized linear fuzzy clustering. IJCNN Yoshio Mori, Katsuhiro Honda, Akihiro Kanda, Hidetomo Ichihashi
2003	B	`conf`	Robust local principal component analyzer with fuzzy clustering. IJCNN Katsuhiro Honda, Nobukazu Sugiura, Hidetomo Ichihashi
2002	B	`conf`	Linear fuzzy clustering based on least absolute deviations. FUZZ-IEEE Katsuhiro Honda, Nobuhiro Togo, Taro Fujii, Hidetomo Ichihashi
2002	—	`conf`	Robust Clustering in Fuzzy C-Means with Regularization by Cross Entropy. FSKD Hidetomo Ichihashi, Katsuhiro Honda
2001	—	`conf`	Collaborative Filtering Using Principal Component Analysis and Fuzzy Clustering. Web Intelligence Katsuhiro Honda, Nobukazu Sugiura, Hidetomo Ichihashi, Shoichi Araki
2001	B	`conf`	Fuzzy C-Means Clustering With Regularization by K-L Information. FUZZ-IEEE Hidetomo Ichihashi, Kiyotaka Miyagishi, Katsuhiro Honda
2000	—	`conf`	Fuzzy Clustering Algorithm Extracting Principal Components Independent of Subsidiary Variables. IJCNN (3) Chi-Hyon Oh, Hirokazu Komatsu, Katsuhiro Honda, Hidetomo Ichihashi
2000	—	`conf`	Parameter Specification for Fuzzy Clustering by Q-Learning. IJCNN (4) Chi-Hyon Oh, Eriko Ikeda, Katsuhiro Honda, Hidetomo Ichihashi