Identifiablity of Models for Clusterwise Linear Regression. - Christian Hennig (J. Classif., 2000)

Fixed Point Clusters for Linear Regression: Computation and Comparison. - Christian Hennig (J. Classif., 2002)

The choice of vantage objects for image retrieval. - Christian Hennig; Longin Jan Latecki (Pattern Recognit., 2003)

A Method for Visual Cluster Validation. - Christian Hennig (GfKl, 2004)

Distance-based parametric bootstrap tests for clustering of species ranges. - Christian Hennig; Bernhard Hausdorf (Comput. Stat. Data Anal., 2004)

Modeling Memory for Melodies. - Daniel Müllensiefen; Christian Hennig (GfKl, 2005)

Fuzzy and Crisp Mahalanobis Fixed Point Clusters. - Christian Hennig (Data Analysis and Decision Support, 2005)

Design of Dissimilarity Measures: A New Dissimilarity Between Species Distribution Areas. - Christian Hennig; Bernhard Hausdorf (Data Science and Classification, 2006)

The Noise Component in Model-based Cluster Analysis. - Christian Hennig; Pietro Coretto (GfKl, 2007)

Cluster-wise assessment of cluster stability. - Christian Hennig (Comput. Stat. Data Anal., 2007)

Self-Adaptation in Large-Scale Systems: A Study on Structured Overlays across Multiple Datacenters. - Thorsten Schütt; Alexander Reinefeld; Florian Schintke; Christian Hennig (SASO Workshops, 2010)

A simulation study to compare robust clustering methods based on mixtures. - Pietro Coretto; Christian Hennig (Adv. Data Anal. Classif., 2010)

Methods for merging Gaussian mixture components. - Christian Hennig (Adv. Data Anal. Classif., 2010)

PIDO: the primary immunodeficiency disease ontology. - Nico Adams; Robert Hoehndorf; Georgios V. Gkoutos; Gesine Hansen; Christian Hennig (Bioinform., 2011)

A smoothing principle for the Huber and other location M-estimators. - Frank Hampel; Christian Hennig; Elvezio Ronchetti (Comput. Stat. Data Anal., 2011)

How Many Bee Species? A Case Study in Determining the Number of Clusters. - Christian Hennig (GfKl, 2012)

Discussion of "Model-based clustering with non-normal mixture distributions" by S. X. Lee and G. J. McLachlan. - Christian Hennig (Stat. Methods Appl., 2013)

Clustering and a Dissimilarity Measure for Methadone Dosage Time Series. - Chien-Ju Lin; Christian Hennig; Chieh-Liang Huang (ECDA, 2014)

Sicherstellen semantischer Integrität im Big Data Umfeld - Problemstellung und Lösungsansatz. - Tobias Hoppe; Harald Eisenmann; Alexander Viehl; Oliver Bringmann 001; Christian Hennig (GI-Jahrestagung, 2014)

The 2nd special issue on advances in mixture models. - Dankmar Böhning; Christian Hennig; Geoffrey J. McLachlan; Paul D. McNicholas (Comput. Stat. Data Anal., 2014)

On Languages for Conceptual Data Modeling in Multi-disciplinary Space Systems Engineering. - Christian Hennig; Harald Eisenmann; Alexander Viehl; Oliver Bringmann 001 (MODELSWARD, 2015)

Recovering the number of clusters in data sets with noise features using feature rescaling factors. - Renato Cordeiro de Amorim; Christian Hennig (Inf. Sci., 2015)

Effect of web page menu orientation on retrieving information by people with learning disabilities. - Peter Williams; Christian Hennig (J. Assoc. Inf. Sci. Technol., 2015)

What are the true clusters? - Christian Hennig (Pattern Recognit. Lett., 2015)

Flexible parametric bootstrap for testing homogeneity against clustering and assessing the number of clusters. - Christian Hennig; Chien-Ju Lin (Stat. Comput., 2015)

A Methodology for Deriving Conceptual Data Models from Systems Engineering Artefacts. - Christian Hennig; Harald Eisenmann; Alexander Viehl; Oliver Bringmann 001 (MODELSWARD, 2016)

SCDML: A Language for Conceptual Data Modeling in Model-based Systems Engineering. - Christian Hennig; Tobias Hoppe; Harald Eisenmann; Alexander Viehl; Oliver Bringmann 001 (MODELSWARD, 2016)

Ontology-Based Design of Space Systems. - Christian Hennig; Alexander Viehl; Benedikt Kämpgen; Harald Eisenmann (ISWC (2), 2016)

Consistency, Breakdown Robustness, and Algorithms for Robust Improper Maximum Likelihood Clustering. - Pietro Coretto; Christian Hennig (J. Mach. Learn. Res., 2017)

Exploration of the variability of variable selection based on distances between bootstrap sample results. - Christian Hennig; Willi Sauerbrei (Adv. Data Anal. Classif., 2019)

Clustering by Optimizing the Average Silhouette Width. - Fatima Batool; Christian Hennig (CoRR, 2019)

Characterization and Development of Average Silhouette Width Clustering. - Fatima Batool; Christian Hennig (CoRR, 2019)

A constrained regression model for an ordinal response with ordinal predictors. - Javier Espinosa 001; Christian Hennig (Stat. Comput., 2019)

Comparing clusterings and numbers of clusters by aggregation of calibrated clustering validity indexes. - Serhat Emre Akhanli; Christian Hennig (Stat. Comput., 2020)

Clustering with the Average Silhouette Width. - Fatima Batool; Christian Hennig (Comput. Stat. Data Anal., 2021)

An empirical comparison and characterisation of nine popular clustering methods. - Christian Hennig (Adv. Data Anal. Classif., 2022)

Validation of cluster analysis results on validation data: A systematic framework. - Theresa Ullmann; Christian Hennig; Anne-Laure Boulesteix (WIREs Data Mining Knowl. Discov., 2022)

Some issues in robust clustering. - Christian Hennig (CoRR, 2023)

Should We Test the Model Assumptions Before Running a Model-based Test? - Iqbal Shamsudheen; Christian Hennig (J. Data Sci. Stat. Vis., 2023)

A white paper on good research practices in benchmarking: The case of cluster analysis. - Iven Van Mechelen; Anne-Laure Boulesteix; Rainer Dangl; Nema Dean; Christian Hennig; Friedrich Leisch; Douglas L. Steinley; Matthijs J. Warrens (WIREs Data. Mining. Knowl. Discov., 2023)

Onset of a conceptual outline map to get a hold on the jungle of cluster analysis. - Iven Van Mechelen; Christian Hennig; Henk A. L. Kiers (WIREs Data. Mining. Knowl. Discov., 2024)

Consistency for constrained maximum likelihood estimation and clustering based on mixtures of elliptically-symmetric distributions under general data generating processes. - Pietro Coretto; Christian Hennig (J. Multivar. Anal., 2025)

Special issue on "Advances in clustering, classification and related methods". - Paolo Giordani; Christian Hennig; Julien Jacques; Carla Rampichini (Adv. Data Anal. Classif., 2025)