Christian Hennig

44 papers C 3Journal 31Unranked 8
YearRankTypeTitle / Venue / Authors
2025 J jnl
Consistency for constrained maximum likelihood estimation and clustering based on mixtures of elliptically-symmetric distributions under general data generating processes.
J. Multivar. Anal.
Pietro Coretto, Christian Hennig
2025 J jnl
Special issue on "Advances in clustering, classification and related methods".
Adv. Data Anal. Classif.
Paolo Giordani, Christian Hennig, Julien Jacques, Carla Rampichini
2024 J jnl
Onset of a conceptual outline map to get a hold on the jungle of cluster analysis.
WIREs Data. Mining. Knowl. Discov.
Iven Van Mechelen, Christian Hennig, Henk A. L. Kiers
2023 J jnl
A white paper on good research practices in benchmarking: The case of cluster analysis.
WIREs Data. Mining. Knowl. Discov.
Iven Van Mechelen, Anne-Laure Boulesteix, Rainer Dangl, Nema Dean, Christian Hennig, Friedrich Leisch, Douglas L. Steinley, Matthijs J. Warrens
2023 J jnl
Should We Test the Model Assumptions Before Running a Model-based Test?
J. Data Sci. Stat. Vis.
Iqbal Shamsudheen, Christian Hennig
2023 J jnl
Some issues in robust clustering.
CoRR
Christian Hennig
2022 J jnl
An empirical comparison and characterisation of nine popular clustering methods.
Adv. Data Anal. Classif.
Christian Hennig
2022 J jnl
Validation of cluster analysis results on validation data: A systematic framework.
WIREs Data Mining Knowl. Discov.
Theresa Ullmann, Christian Hennig, Anne-Laure Boulesteix
2021 J jnl
Clustering with the Average Silhouette Width.
Comput. Stat. Data Anal.
Fatima Batool, Christian Hennig
2020 J jnl
Comparing clusterings and numbers of clusters by aggregation of calibrated clustering validity indexes.
Stat. Comput.
Serhat Emre Akhanli, Christian Hennig
2019 J jnl
A constrained regression model for an ordinal response with ordinal predictors.
Stat. Comput.
Javier Espinosa, Christian Hennig
2019 J jnl
Characterization and Development of Average Silhouette Width Clustering.
CoRR
Fatima Batool, Christian Hennig
2019 J jnl
Clustering by Optimizing the Average Silhouette Width.
CoRR
Fatima Batool, Christian Hennig
2019 J jnl
Exploration of the variability of variable selection based on distances between bootstrap sample results.
Adv. Data Anal. Classif.
Christian Hennig, Willi Sauerbrei
2017 J jnl
Consistency, Breakdown Robustness, and Algorithms for Robust Improper Maximum Likelihood Clustering.
J. Mach. Learn. Res.
Pietro Coretto, Christian Hennig
2016 C conf
A Methodology for Deriving Conceptual Data Models from Systems Engineering Artefacts.
MODELSWARD
Christian Hennig, Harald Eisenmann, Alexander Viehl, Oliver Bringmann
2016 — conf
Ontology-Based Design of Space Systems.
ISWC (2)
Christian Hennig, Alexander Viehl, Benedikt Kämpgen, Harald Eisenmann
2016 J jnl
Recovering the number of clusters in data sets with noise features using feature rescaling factors.
CoRR
Renato Cordeiro de Amorim, Christian Hennig
2016 C conf
SCDML: A Language for Conceptual Data Modeling in Model-based Systems Engineering.
MODELSWARD
Christian Hennig, Tobias Hoppe, Harald Eisenmann, Alexander Viehl, Oliver Bringmann
2015 J jnl
Effect of web page menu orientation on retrieving information by people with learning disabilities.
J. Assoc. Inf. Sci. Technol.
Peter Williams, Christian Hennig
2015 J jnl
Flexible parametric bootstrap for testing homogeneity against clustering and assessing the number of clusters.
Stat. Comput.
Christian Hennig, Chien-Ju Lin
2015 C conf
On Languages for Conceptual Data Modeling in Multi-disciplinary Space Systems Engineering.
MODELSWARD
Christian Hennig, Harald Eisenmann, Alexander Viehl, Oliver Bringmann
2015 J jnl
Recovering the number of clusters in data sets with noise features using feature rescaling factors.
Inf. Sci.
Renato Cordeiro de Amorim, Christian Hennig
2015 J jnl
What are the true clusters?
Pattern Recognit. Lett.
Christian Hennig
2014 — conf
Clustering and a Dissimilarity Measure for Methadone Dosage Time Series.
ECDA
Chien-Ju Lin, Christian Hennig, Chieh-Liang Huang
2014 — conf
Sicherstellen semantischer Integrität im Big Data Umfeld - Problemstellung und Lösungsansatz.
GI-Jahrestagung
Tobias Hoppe, Harald Eisenmann, Alexander Viehl, Oliver Bringmann, Christian Hennig
2014 J jnl
The 2nd special issue on advances in mixture models.
Comput. Stat. Data Anal.
Dankmar Böhning, Christian Hennig, Geoffrey J. McLachlan, Paul D. McNicholas
2013 J jnl
Discussion of "Model-based clustering with non-normal mixture distributions" by S. X. Lee and G. J. McLachlan.
Stat. Methods Appl.
Christian Hennig
2012 — conf
How Many Bee Species? A Case Study in Determining the Number of Clusters.
GfKl
Christian Hennig
2011 J jnl
A smoothing principle for the Huber and other location M-estimators.
Comput. Stat. Data Anal.
Frank Hampel, Christian Hennig, Elvezio Ronchetti
2011 J jnl
PIDO: the primary immunodeficiency disease ontology.
Bioinform.
Nico Adams, Robert Hoehndorf, Georgios V. Gkoutos, Gesine Hansen, Christian Hennig
2010 J jnl
A simulation study to compare robust clustering methods based on mixtures.
Adv. Data Anal. Classif.
Pietro Coretto, Christian Hennig
2010 J jnl
Methods for merging Gaussian mixture components.
Adv. Data Anal. Classif.
Christian Hennig
2010 — conf
Self-Adaptation in Large-Scale Systems: A Study on Structured Overlays across Multiple Datacenters.
SASO Workshops
Thorsten Schütt, Alexander Reinefeld, Florian Schintke, Christian Hennig
2007 J jnl
Cluster-wise assessment of cluster stability.
Comput. Stat. Data Anal.
Christian Hennig
2007 — conf
The Noise Component in Model-based Cluster Analysis.
GfKl
Christian Hennig, Pietro Coretto
2006 — ch.
Design of Dissimilarity Measures: A New Dissimilarity Between Species Distribution Areas.
Data Science and Classification
Christian Hennig, Bernhard Hausdorf
2005 — ch.
Fuzzy and Crisp Mahalanobis Fixed Point Clusters.
Data Analysis and Decision Support
Christian Hennig
2005 — conf
Modeling Memory for Melodies.
GfKl
Daniel Müllensiefen, Christian Hennig
2004 — conf
A Method for Visual Cluster Validation.
GfKl
Christian Hennig
2004 J jnl
Distance-based parametric bootstrap tests for clustering of species ranges.
Comput. Stat. Data Anal.
Christian Hennig, Bernhard Hausdorf
2003 J jnl
The choice of vantage objects for image retrieval.
Pattern Recognit.
Christian Hennig, Longin Jan Latecki
2002 J jnl
Fixed Point Clusters for Linear Regression: Computation and Comparison.
J. Classif.
Christian Hennig
2000 J jnl
Identifiablity of Models for Clusterwise Linear Regression.
J. Classif.
Christian Hennig