Christian Hennig

Publication Activity (10 Years)

Years Active: 2000-2023
Publications (10 Years): 21

Top Topics

Clustering Validity

Dissimilarity Measure

Top Venues

Adv. Data Anal. Classif.

Publications

Iven Van Mechelen, Anne-Laure Boulesteix, Rainer Dangl, Nema Dean, Christian Hennig, Friedrich Leisch, Douglas L. Steinley, Matthijs J. Warrens
A white paper on good research practices in benchmarking: The case of cluster analysis. WIREs Data. Mining. Knowl. Discov. 13 (6) (2023)
Iqbal Shamsudheen, Christian Hennig
Should We Test the Model Assumptions Before Running a Model-based Test? J. Data Sci. Stat. Vis. 3 (3) (2023)
Christian Hennig
Some issues in robust clustering. CoRR (2023)
Christian Hennig
An empirical comparison and characterisation of nine popular clustering methods. Adv. Data Anal. Classif. 16 (1) (2022)
Theresa Ullmann, Christian Hennig, Anne-Laure Boulesteix
Validation of cluster analysis results on validation data: A systematic framework. WIREs Data Mining Knowl. Discov. 12 (3) (2022)
Fatima Batool, Christian Hennig
Clustering with the Average Silhouette Width. Comput. Stat. Data Anal. 158 (2021)
Serhat Emre Akhanli, Christian Hennig
Comparing clusterings and numbers of clusters by aggregation of calibrated clustering validity indexes. Stat. Comput. 30 (5) (2020)
Christian Hennig, Willi Sauerbrei
Exploration of the variability of variable selection based on distances between bootstrap sample results. Adv. Data Anal. Classif. 13 (4) (2019)
Fatima Batool, Christian Hennig
Characterization and Development of Average Silhouette Width Clustering. CoRR (2019)
Fatima Batool, Christian Hennig
Clustering by Optimizing the Average Silhouette Width. CoRR (2019)
Javier Espinosa, Christian Hennig
A constrained regression model for an ordinal response with ordinal predictors. Stat. Comput. 29 (5) (2019)
Pietro Coretto, Christian Hennig
Consistency, Breakdown Robustness, and Algorithms for Robust Improper Maximum Likelihood Clustering. J. Mach. Learn. Res. 18 (2017)
Christian Hennig, Tobias Hoppe, Harald Eisenmann, Alexander Viehl, Oliver Bringmann
SCDML: A Language for Conceptual Data Modeling in Model-based Systems Engineering. MODELSWARD (2016)
Renato Cordeiro de Amorim, Christian Hennig
Recovering the number of clusters in data sets with noise features using feature rescaling factors. CoRR (2016)
Christian Hennig, Alexander Viehl, Benedikt Kämpgen, Harald Eisenmann
Ontology-Based Design of Space Systems. ISWC (2) (2016)
Christian Hennig, Harald Eisenmann, Alexander Viehl, Oliver Bringmann
A Methodology for Deriving Conceptual Data Models from Systems Engineering Artefacts. MODELSWARD (2016)
Christian Hennig, Chien-Ju Lin
Flexible parametric bootstrap for testing homogeneity against clustering and assessing the number of clusters. Stat. Comput. 25 (4) (2015)
Christian Hennig
What are the true clusters? Pattern Recognit. Lett. 64 (2015)
Christian Hennig, Harald Eisenmann, Alexander Viehl, Oliver Bringmann
On Languages for Conceptual Data Modeling in Multi-disciplinary Space Systems Engineering. MODELSWARD (2015)
Peter Williams, Christian Hennig
Effect of web page menu orientation on retrieving information by people with learning disabilities. J. Assoc. Inf. Sci. Technol. 66 (4) (2015)
Renato Cordeiro de Amorim, Christian Hennig
Recovering the number of clusters in data sets with noise features using feature rescaling factors. Inf. Sci. 324 (2015)
Tobias Hoppe, Harald Eisenmann, Alexander Viehl, Oliver Bringmann, Christian Hennig
Sicherstellen semantischer Integrität im Big Data Umfeld - Problemstellung und Lösungsansatz. GI-Jahrestagung (2014)
Chien-Ju Lin, Christian Hennig, Chieh-Liang Huang
Clustering and a Dissimilarity Measure for Methadone Dosage Time Series. ECDA (2014)
Dankmar Böhning, Christian Hennig, Geoffrey J. McLachlan, Paul D. McNicholas
The 2nd special issue on advances in mixture models. Comput. Stat. Data Anal. 71 (2014)
Christian Hennig
Discussion of "Model-based clustering with non-normal mixture distributions" by S. X. Lee and G. J. McLachlan. Stat. Methods Appl. 22 (4) (2013)
Christian Hennig
How Many Bee Species? A Case Study in Determining the Number of Clusters. GfKl (2012)
Nico Adams, Robert Hoehndorf, Georgios V. Gkoutos, Gesine Hansen, Christian Hennig
PIDO: the primary immunodeficiency disease ontology. Bioinform. 27 (22) (2011)
Frank Hampel, Christian Hennig, Elvezio Ronchetti
A smoothing principle for the Huber and other location M-estimators. Comput. Stat. Data Anal. 55 (1) (2011)
Thorsten Schütt, Alexander Reinefeld, Florian Schintke, Christian Hennig
Self-Adaptation in Large-Scale Systems: A Study on Structured Overlays across Multiple Datacenters. SASO Workshops (2010)
Pietro Coretto, Christian Hennig
A simulation study to compare robust clustering methods based on mixtures. Adv. Data Anal. Classif. 4 (2-3) (2010)
Christian Hennig
Methods for merging Gaussian mixture components. Adv. Data Anal. Classif. 4 (1) (2010)
Christian Hennig, Pietro Coretto
The Noise Component in Model-based Cluster Analysis. GfKl (2007)
Christian Hennig
Cluster-wise assessment of cluster stability. Comput. Stat. Data Anal. 52 (1) (2007)
Daniel Müllensiefen, Christian Hennig
Modeling Memory for Melodies. GfKl (2005)
Christian Hennig, Bernhard Hausdorf
Distance-based parametric bootstrap tests for clustering of species ranges. Comput. Stat. Data Anal. 45 (4) (2004)
Christian Hennig
A Method for Visual Cluster Validation. GfKl (2004)
Christian Hennig, Longin Jan Latecki
The choice of vantage objects for image retrieval. Pattern Recognit. 36 (9) (2003)
Christian Hennig
Fixed Point Clusters for Linear Regression: Computation and Comparison. J. Classif. 19 (2) (2002)
Christian Hennig
Identifiablity of Models for Clusterwise Linear Regression. J. Classif. 17 (2) (2000)