Yukihiro Hamasuna

75 papers B 25C 1Misc 8Journal 25Unranked 16

Year	Rank	Type	Title / Venue / Authors
2024	B	`conf`	Gaussian Process Based Sequential Regression Models. IJCNN Kaito Takegawa, Yuya Yokoyama, Yukihiro Hamasuna
2024	B	`conf`	Sequential Cluster Extraction by Noise Clustering Based on Local Outlier Factor. MDAI Yukihiro Hamasuna, Yoshitomo Mori
2023	—	`conf`	A Novel Noise Clustering Based on Local Outlier Factor. IUKM (2) Yukihiro Hamasuna, Yoshitomo Mori
2023	J	`jnl`	On hard c-means with cluster radius that makes the cluster partition homotopy equivalent to weighted $$\alpha$$-complex. J. Ambient Intell. Humaniz. Comput. Yasunori Endo, Kanata Hoshino, Yukihiro Hamasuna
2022	—	`conf`	The relationship between Gaussian process based c-regression models and kernel c-regression models. SCIS/ISIS Yukihiro Hamasuna, Yuya Yokoyama, Kaito Takegawa
2021	J	`jnl`	Jensen-Shannon Divergence-Based J. Adv. Comput. Intell. Intell. Informatics Yuto Kingetsu, Yukihiro Hamasuna
2021	B	`conf`	Network Clustering with Controlled Node Size. MDAI Yukihiro Hamasuna, Shusuke Nakano, Yasunori Endo
2020	—	`conf`	Controlled-Sized Clustering for Time-Series Data. SCIS/ISIS Nobuhiko Tsuda, Yukihiro Hamasuna
2019	J	`jnl`	Cluster Validity Measures Based Agglomerative Hierarchical Clustering for Network Data. J. Adv. Comput. Intell. Intell. Informatics Yukihiro Hamasuna, Shusuke Nakano, Ryo Ozaki, Yasunori Endo
2019	B	`conf`	k-Medoids Clustering Based on Kernel Density Estimation and Jensen-Shannon Divergence. MDAI Yukihiro Hamasuna, Yuto Kingetsu, Shusuke Nakano
2018	—	`conf`	A Study on Clustering Unweighted Network Data and Its Evaluation Using Cluster Validity Measure. SCIS&ISIS Daiki Kobayashi, Yukihiro Hamasuna
2018	—	`conf`	A Study on Controlled Node Sized Network Clustering for Unweighted Network Data. SCIS&ISIS Shusuke Nakano, Yukihiro Hamasuna, Yasunori Endo
2018	J	`jnl`	Cluster Validity Measures for Network Data. J. Adv. Comput. Intell. Intell. Informatics Yukihiro Hamasuna, Daiki Kobayashi, Ryo Ozaki, Yasunori Endo
2018	J	`jnl`	Even-Sized Clustering Based on Optimization and its Variants. J. Adv. Comput. Intell. Intell. Informatics Yasunori Endo, Yukihiro Hamasuna, Tsubasa Hirano, Naohiko Kinoshita
2018	J	`jnl`	Fuzzified Even-Sized Clustering Based on Optimization. J. Adv. Comput. Intell. Intell. Informatics Kei Kitajima, Yasunori Endo, Yukihiro Hamasuna
2018	J	`jnl`	Two-Stage Clustering Based on Cluster Validity Measures. J. Adv. Comput. Intell. Intell. Informatics Yukihiro Hamasuna, Ryo Ozaki, Yasunori Endo
2017	—	`conf`	A study on cluster validity measures for clustering network data. IFSA-SCIS Yukihiro Hamasuna, Ryo Ozaki, Yasunori Endo
2017	B	`conf`	Agglomerative hierarchical clustering based on local optimization for cluster validity measures. SMC Ryo Ozaki, Yukihiro Hamasuna, Yasunori Endo
2017	—	`conf`	Hierarchical clustering algorithms with automatic estimation of the number of clusters. IFSA-SCIS Ryosuke Abe, Sadaaki Miyamoto, Yasunori Endo, Yukihiro Hamasuna
2017	—	`conf`	On Some Clustering Algorithms Based on Tolerance. Fuzzy Sets, Rough Sets, Multisets and Clustering Yukihiro Hamasuna, Yasunori Endo
2017	B	`conf`	On various types of controlled-sized clustering based on optimization. FUZZ-IEEE Yasunori Endo, Sachiko Ishida, Naohiko Kinoshita, Yukihiro Hamasuna
2016	—	`conf`	A Method of Two-Stage Clustering Based on Cluster Validity Measures. SCIS&ISIS Ryo Ozaki, Yukihiro Hamasuna, Yasunori Endo
2016	J	`jnl`	Comparison of Cluster Validity Measures Based J. Adv. Comput. Intell. Intell. Informatics Yukihiro Hamasuna, Naohiko Kinoshita, Yasunori Endo
2016	J	`jnl`	On Fuzzy Non-Metric Model for Data with Tolerance and its Application to Incomplete Data Clustering. J. Adv. Comput. Intell. Intell. Informatics Yasunori Endo, Tomoyuki Suzuki, Naohiko Kinoshita, Yukihiro Hamasuna
2016	—	`conf`	On Kernelized Sequential Hard Clustering. SCIS&ISIS Yukihiro Hamasuna, Yasunori Endo
2016	B	`conf`	On Various Types of Even-Sized Clustering Based on Optimization. MDAI Yasunori Endo, Tsubasa Hirano, Naohiko Kinoshita, Yukihiro Hamasuna
2015	J	`jnl`	Fuzzy c-Means with Quadratic Penalty-Vector Regularization Using Kullback-Leibler Information for Uncertain Data. J. Adv. Comput. Intell. Intell. Informatics Naohiko Kinoshita, Yasunori Endo, Yukihiro Hamasuna
2015	B	`conf`	Fuzzy non-metric model for data with tolerance and its application to incomplete data clustering. FUZZ-IEEE Yasunori Endo, Tomoyuki Suzuki, Naohiko Kinoshita, Yukihiro Hamasuna, Sadaaki Miyamoto
2015	J	`jnl`	On Cluster Extraction from Relational Data Using L1-Regularized Possibilistic Assignment Prototype Algorithm. J. Adv. Comput. Intell. Intell. Informatics Yukihiro Hamasuna, Yasunori Endo
2015	J	`jnl`	On Sequential Cluster Extraction Based on L1-Regularized Possibilistic c-Means. J. Adv. Comput. Intell. Intell. Informatics Yukihiro Hamasuna, Yasunori Endo
2015	J	`jnl`	On a Family of New Sequential Hard Clustering. J. Adv. Comput. Intell. Intell. Informatics Yukihiro Hamasuna, Yasunori Endo
2014	B	`conf`	Hard and Fuzzy c-means Algorithms with Pairwise Constraints by Non-metric Terms. MDAI Yasunori Endo, Naohiko Kinoshita, Kuniaki Iwakura, Yukihiro Hamasuna
2014	—	`conf`	On even-sized clustering algorithm based on optimization. SCIS&ISIS Tsubasa Hirano, Yasunori Endo, Naohiko Kinoshita, Yukihiro Hamasuna
2014	Misc	`conf`	On new sequential hard c-means and its kernelization. GrC Yukihiro Hamasuna, Yasunori Endo
2014	—	`conf`	On new sequential hard c-medoids. SCIS&ISIS Yukihiro Hamasuna, Yasunori Endo
2014	B	`conf`	Semi-Supervised Hard and Fuzzy c-Means with Assignment Prototype Term. MDAI Yukihiro Hamasuna, Yasunori Endo
2013	J	`jnl`	Non Metric Model Based on Rough Set Representation. J. Adv. Comput. Intell. Intell. Informatics Yasunori Endo, Ayako Heki, Yukihiro Hamasuna
2013	—	`conf`	On Cluster Extraction from Relational Data Using Entropy Based Relational Crisp Possibilistic Clustering. KSE (2) Yukihiro Hamasuna, Yasunori Endo
2013	B	`conf`	On Sequential Cluster Extraction Based on L 1-Regularized Possibilistic Non-metric Model. MDAI Yukihiro Hamasuna, Yasunori Endo
2013	J	`jnl`	On semi-supervised fuzzy c-means clustering for data with clusterwise tolerance by opposite criteria. Soft Comput. Yukihiro Hamasuna, Yasunori Endo
2013	B	`conf`	Sequential Extraction by Using Two Types of Crisp Possibilistic Clustering. SMC Yukihiro Hamasuna, Yasunori Endo
2012	J	`jnl`	Comparison of Semi-Supervised Hierarchical Clustering Using Clusterwise Tolerance. J. Adv. Comput. Intell. Intell. Informatics Yukihiro Hamasuna, Yasunori Endo
2012	J	`jnl`	Hard c-Means Using Quadratic Penalty-Vector Regularization for Uncertain Data. J. Adv. Comput. Intell. Intell. Informatics Yasunori Endo, Arisa Taniguchi, Yukihiro Hamasuna
2012	J	`jnl`	On Agglomerative Hierarchical Clustering Using Clusterwise Tolerance Based Pairwise Constraints. J. Adv. Comput. Intell. Intell. Informatics Yukihiro Hamasuna, Yasunori Endo, Sadaaki Miyamoto
2012	B	`conf`	On Rough Set Based Non Metric Model. MDAI Yasunori Endo, Ayako Heki, Yukihiro Hamasuna
2012	—	`conf`	On sparse possibilistic clustering with crispness - Classification function and sequential extraction. SCIS&ISIS Yukihiro Hamasuna, Yasunori Endo
2011	J	`jnl`	Fuzzy c-Means Clustering for Data with Clusterwise Tolerance Based on L2- and L1-Regularization. J. Adv. Comput. Intell. Intell. Informatics Yukihiro Hamasuna, Yasunori Endo, Sadaaki Miyamoto
2011	J	`jnl`	Fuzzy c-Means Clustering for Uncertain Data Using Quadratic Penalty-Vector Regularization. J. Adv. Comput. Intell. Intell. Informatics Yasunori Endo, Yasushi Hasegawa, Yukihiro Hamasuna, Yuchi Kanzawa
2011	—	`conf`	Fuzzy c-Means Clustering with Mutual Relation Constraints - Construction of Two Types of Algorithms. KES (1) Yasunori Endo, Yukihiro Hamasuna
2011	C	`conf`	Hard and fuzzy c-means clustering with mutual relation constraints. ISDA Yasunori Endo, Yukihiro Hamasuna
2011	B	`conf`	Kernelized fuzzy c-means clustering for uncertain data using quadratic penalty-vector regularization with explicit mappings. FUZZ-IEEE Yasunori Endo, Isao Takayama, Yukihiro Hamasuna, Sadaaki Miyamoto
2011	B	`conf`	On Hard MDAI Yasunori Endo, Arisa Taniguchi, Aoi Takahashi, Yukihiro Hamasuna
2011	B	`conf`	On Mahalanobis distance based fuzzy c-means clustering for uncertain data using penalty vector regularization. FUZZ-IEEE Yukihiro Hamasuna, Yasunori Endo, Sadaaki Miyamoto
2011	Misc	`conf`	On principal component analysis for data with tolerance. GrC Yasunori Endo, Tatsuyoshi Tsuji, Yukihiro Hamasuna, Kouta Kurihara
2011	Misc	`conf`	On semi-supervised fuzzy c-means clustering with clusterwise tolerance by opposite criteria. GrC Yukihiro Hamasuna, Yasunori Endo
2011	B	`conf`	Semi-supervised Agglomerative Hierarchical Clustering with Ward Method Using Clusterwise Tolerance. MDAI Yukihiro Hamasuna, Yasunori Endo, Sadaaki Miyamoto
2010	B	`conf`	Cluster validity measures for data with tolerance. FUZZ-IEEE Yukihiro Hamasuna, Yasunori Endo, Sadaaki Miyamoto
2010	B	`conf`	Hard and fuzzy c-regression models for data with tolerance in independent and dependent variables. FUZZ-IEEE Yasunori Endo, Kouta Kurihara, Sadaaki Miyamoto, Yukihiro Hamasuna
2010	J	`jnl`	On tolerant fuzzy Soft Comput. Yukihiro Hamasuna, Yasunori Endo, Sadaaki Miyamoto
2010	B	`conf`	Semi-supervised Agglomerative Hierarchical Clustering Using Clusterwise Tolerance Based Pairwise Constraints. MDAI Yukihiro Hamasuna, Yasunori Endo, Sadaaki Miyamoto
2010	Misc	`conf`	Semi-supervised Fuzzy c-Means Clustering Using Clusterwise Tolerance Based Pairwise Constraints. GrC Yukihiro Hamasuna, Yasunori Endo, Sadaaki Miyamoto
2009	J	`jnl`	Clustering Algorithm Based on Probabilistic Dissimilarity. J. Adv. Comput. Intell. Intell. Informatics Makito Yamashiro, Yasunori Endo, Yukihiro Hamasuna
2009	Misc	`conf`	Comparison of tolerant fuzzy c-means clustering with L2- and L1-regularization. GrC Yukihiro Hamasuna, Yasunori Endo, Sadaaki Miyamoto
2009	B	`conf`	On L1-Norm based tolerant fuzzy c-Means clustering. FUZZ-IEEE Yukihiro Hamasuna, Yasunori Endo, Sadaaki Miyamoto
2009	J	`jnl`	On Tolerant Fuzzy c -Means Clustering. J. Adv. Comput. Intell. Intell. Informatics Yukihiro Hamasuna, Yasunori Endo, Sadaaki Miyamoto
2009	—	`conf`	On Tolerant Fuzzy c-Means Clustering with L1-Regularization. IFSA/EUSFLAT Conf. Yukihiro Hamasuna, Yasunori Endo, Sadaaki Miyamoto
2009	Misc	`conf`	On fuzzy c-means clustering for uncertain data using quadratic regularization of penalty vectors. GrC Yasunori Endo, Yukihiro Hamasuna, Yuchi Kanzawa, Sadaaki Miyamoto
2009	B	`conf`	On semi-supervised fuzzy c-means clustering. FUZZ-IEEE Yasunori Endo, Yukihiro Hamasuna, Makito Yamashiro, Sadaaki Miyamoto
2008	J	`jnl`	Fuzzy c-Means for Data with Rectangular Maximum Tolerance Range. J. Adv. Comput. Intell. Intell. Informatics Yasunori Endo, Yasushi Hasegawa, Yukihiro Hamasuna, Sadaaki Miyamoto
2008	Misc	`conf`	On Tolerant Entropy Regularized Fuzzy C-means. GrC Yukihiro Hamasuna, Yasunori Endo, Makito Yamashiro
2008	B	`conf`	Support Vector Machine for data with tolerance based on Hard-margin and Soft-Margin. FUZZ-IEEE Yukihiro Hamasuna, Yasunori Endo, Sadaaki Miyamoto
2007	Misc	`conf`	Agglomerative Hierarchical Clustering for Data with Tolerance. GrC Yasunori Endo, Yukihiro Hamasuna, Sadaaki Miyamoto
2007	B	`conf`	Fuzzy MDAI Yasushi Hasegawa, Yasunori Endo, Yukihiro Hamasuna, Sadaaki Miyamoto
2007	J	`jnl`	Metaheuristic Algorithms for Container Loading Problems: Framework and Knowledge Utilization. J. Adv. Comput. Intell. Intell. Informatics Sadaaki Miyamoto, Yasunori Endo, Koki Hanzawa, Yukihiro Hamasuna
2007	B	`conf`	Two Clustering Algorithms for Data with Tolerance based on Hard c-Means. FUZZ-IEEE Yukihiro Hamasuna, Yasunori Endo, Yasushi Hasegawa, Sadaaki Miyamoto