Christian Hennig

Orcid: 0000-0003-1550-5637

According to our database¹, Christian Hennig authored at least 40 papers between 2000 and 2023.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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On csauthors.net:

Bibliography

2023

A white paper on good research practices in benchmarking: The case of cluster analysis.

[BibT_eX]

[DOI]

Iven Van Mechelen

Anne-Laure Boulesteix

WIREs Data. Mining. Knowl. Discov., November, 2023

Should We Test the Model Assumptions Before Running a Model-based Test?

[BibT_eX]

[DOI]

Iqbal Shamsudheen

Christian Hennig

J. Data Sci. Stat. Vis., November, 2023

Some issues in robust clustering.

[BibT_eX]

[DOI]

Christian Hennig

CoRR, 2023

2022

Validation of cluster analysis results on validation data: A systematic framework.

[BibT_eX]

[DOI]

Theresa Ullmann

Christian Hennig

Anne-Laure Boulesteix

WIREs Data Mining Knowl. Discov., 2022

An empirical comparison and characterisation of nine popular clustering methods.

[BibT_eX]

[DOI]

Christian Hennig

Adv. Data Anal. Classif., 2022

2021

Clustering with the Average Silhouette Width.

[BibT_eX]

[DOI]

Fatima Batool

Christian Hennig

Comput. Stat. Data Anal., 2021

2020

Comparing clusterings and numbers of clusters by aggregation of calibrated clustering validity indexes.

[BibT_eX]

[DOI]

Serhat Emre Akhanli

Christian Hennig

Stat. Comput., 2020

2019

A constrained regression model for an ordinal response with ordinal predictors.

[BibT_eX]

[DOI]

Javier Espinosa

Christian Hennig

Stat. Comput., 2019

Characterization and Development of Average Silhouette Width Clustering.

[BibT_eX]

[DOI]

Fatima Batool

Christian Hennig

CoRR, 2019

Clustering by Optimizing the Average Silhouette Width.

[BibT_eX]

[DOI]

Fatima Batool

Christian Hennig

CoRR, 2019

Exploration of the variability of variable selection based on distances between bootstrap sample results.

[BibT_eX]

[DOI]

Christian Hennig

Willi Sauerbrei

Adv. Data Anal. Classif., 2019

2017

Consistency, Breakdown Robustness, and Algorithms for Robust Improper Maximum Likelihood Clustering.

[BibT_eX]

[DOI]

Pietro Coretto

Christian Hennig

J. Mach. Learn. Res., 2017

2016

Ontology-Based Design of Space Systems.

[BibT_eX]

[DOI]

Proceedings of the Semantic Web - ISWC 2016, 2016

SCDML: A Language for Conceptual Data Modeling in Model-based Systems Engineering.

[BibT_eX]

[DOI]

Proceedings of the MODELSWARD 2016, 2016

A Methodology for Deriving Conceptual Data Models from Systems Engineering Artefacts.

[BibT_eX]

[DOI]

Proceedings of the MODELSWARD 2016, 2016

2015

Flexible parametric bootstrap for testing homogeneity against clustering and assessing the number of clusters.

[BibT_eX]

[DOI]

Christian Hennig

Chien-Ju Lin

Stat. Comput., 2015

What are the true clusters?

[BibT_eX]

[DOI]

Christian Hennig

Pattern Recognit. Lett., 2015

Effect of web page menu orientation on retrieving information by people with learning disabilities.

[BibT_eX]

[DOI]

Peter Williams

Christian Hennig

J. Assoc. Inf. Sci. Technol., 2015

Recovering the number of clusters in data sets with noise features using feature rescaling factors.

[BibT_eX]

[DOI]

Renato Cordeiro de Amorim

Christian Hennig

Inf. Sci., 2015

On Languages for Conceptual Data Modeling in Multi-disciplinary Space Systems Engineering.

[BibT_eX]

[DOI]

Proceedings of the MODELSWARD 2015, 2015

2014

The 2nd special issue on advances in mixture models.

[BibT_eX]

[DOI]

Dankmar Böhning

Christian Hennig

Geoffrey J. McLachlan

Paul D. McNicholas

Comput. Stat. Data Anal., 2014

Sicherstellen semantischer Integrität im Big Data Umfeld - Problemstellung und Lösungsansatz.

[BibT_eX]

[DOI]

Proceedings of the 44. Jahrestagung der Gesellschaft für Informatik, Big Data, 2014

Clustering and a Dissimilarity Measure for Methadone Dosage Time Series.

[BibT_eX]

[DOI]

Chien-Ju Lin

Christian Hennig

Chieh-Liang Huang

Proceedings of the Analysis of Large and Complex Data, 2014

2013

Discussion of "Model-based clustering with non-normal mixture distributions" by S. X. Lee and G. J. McLachlan.

[BibT_eX]

[DOI]

Christian Hennig

Stat. Methods Appl., 2013

2012

How Many Bee Species? A Case Study in Determining the Number of Clusters.

[BibT_eX]

[DOI]

Christian Hennig

Proceedings of the Data Analysis, Machine Learning and Knowledge Discovery, 2012

2011

A smoothing principle for the Huber and other location M-estimators.

[BibT_eX]

[DOI]

Frank Hampel

Christian Hennig

Elvezio Ronchetti

Comput. Stat. Data Anal., 2011

PIDO: the primary immunodeficiency disease ontology.

[BibT_eX]

[DOI]

Bioinform., 2011

2010

Methods for merging Gaussian mixture components.

[BibT_eX]

[DOI]

Christian Hennig

Adv. Data Anal. Classif., 2010

A simulation study to compare robust clustering methods based on mixtures.

[BibT_eX]

[DOI]

Pietro Coretto

Christian Hennig

Adv. Data Anal. Classif., 2010

Self-Adaptation in Large-Scale Systems: A Study on Structured Overlays across Multiple Datacenters.

[BibT_eX]

[DOI]

Proceedings of the Fourth IEEE International Conference on Self-Adaptive and Self-Organizing Systems, 2010

2007

Cluster-wise assessment of cluster stability.

[BibT_eX]

[DOI]

Christian Hennig

Comput. Stat. Data Anal., 2007

The Noise Component in Model-based Cluster Analysis.

[BibT_eX]

[DOI]

Christian Hennig

Pietro Coretto

Proceedings of the Data Analysis, Machine Learning and Applications, 2007

2006

Design of Dissimilarity Measures: A New Dissimilarity Between Species Distribution Areas.

[BibT_eX]

[DOI]

Christian Hennig

Bernhard Hausdorf

Proceedings of the Data Science and Classification, 2006

2005

Fuzzy and Crisp Mahalanobis Fixed Point Clusters.

[BibT_eX]

[DOI]

Christian Hennig

Proceedings of the Data Analysis and Decision Support, 2005

Modeling Memory for Melodies.

[BibT_eX]

[DOI]

Daniel Müllensiefen

Christian Hennig

Proceedings of the From Data and Information Analysis to Knowledge Engineering, 2005

2004

Distance-based parametric bootstrap tests for clustering of species ranges.

[BibT_eX]

[DOI]

Christian Hennig

Bernhard Hausdorf

Comput. Stat. Data Anal., 2004

A Method for Visual Cluster Validation.

[BibT_eX]

[DOI]

Christian Hennig

Proceedings of the Classification, 2004

2003

The choice of vantage objects for image retrieval.

[BibT_eX]

[DOI]

Christian Hennig

Longin Jan Latecki

Pattern Recognit., 2003

2002

Fixed Point Clusters for Linear Regression: Computation and Comparison.

[BibT_eX]

[DOI]

Christian Hennig

J. Classif., 2002

2000

Identifiablity of Models for Clusterwise Linear Regression.

[BibT_eX]

[DOI]

Christian Hennig

J. Classif., 2000

Christian Hennig

Timeline

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On csauthors.net:

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