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2020 – today
- 2024
[j25]Iven Van Mechelen
, Christian Hennig, Henk A. L. Kiers:
Onset of a conceptual outline map to get a hold on the jungle of cluster analysis. WIREs Data. Mining. Knowl. Discov. 14(5) (2024)- 2023
- [j24]Iqbal Shamsudheen, Christian Hennig:
Should We Test the Model Assumptions Before Running a Model-based Test? J. Data Sci. Stat. Vis. 3(3) (2023) - [j23]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) - [i4]Christian Hennig:
Some issues in robust clustering. CoRR abs/2308.14478 (2023) - 2022
- [j22]Christian Hennig:
An empirical comparison and characterisation of nine popular clustering methods. Adv. Data Anal. Classif. 16(1): 201-229 (2022) - [j21]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) - 2021
- [j20]Fatima Batool, Christian Hennig:
Clustering with the Average Silhouette Width. Comput. Stat. Data Anal. 158: 107190 (2021) - 2020
- [j19]Serhat Emre Akhanli, Christian Hennig:
Comparing clusterings and numbers of clusters by aggregation of calibrated clustering validity indexes. Stat. Comput. 30(5): 1523-1544 (2020)
2010 – 2019
- 2019
- [j18]Christian Hennig, Willi Sauerbrei:
Exploration of the variability of variable selection based on distances between bootstrap sample results. Adv. Data Anal. Classif. 13(4): 933-963 (2019) - [j17]Javier Espinosa, Christian Hennig:
A constrained regression model for an ordinal response with ordinal predictors. Stat. Comput. 29(5): 869-890 (2019) - [i3]Fatima Batool, Christian Hennig:
Clustering by Optimizing the Average Silhouette Width. CoRR abs/1910.08644 (2019) - [i2]Fatima Batool, Christian Hennig:
Characterization and Development of Average Silhouette Width Clustering. CoRR abs/1910.11339 (2019) - 2017
- [j16]Pietro Coretto, Christian Hennig:
Consistency, Breakdown Robustness, and Algorithms for Robust Improper Maximum Likelihood Clustering. J. Mach. Learn. Res. 18: 142:1-142:39 (2017) - 2016
- [c11]Christian Hennig, Tobias Hoppe, Harald Eisenmann, Alexander Viehl, Oliver Bringmann:
SCDML: A Language for Conceptual Data Modeling in Model-based Systems Engineering. MODELSWARD 2016: 184-192 - [c10]Christian Hennig, Harald Eisenmann, Alexander Viehl, Oliver Bringmann:
A Methodology for Deriving Conceptual Data Models from Systems Engineering Artefacts. MODELSWARD 2016: 497-508 - [c9]Christian Hennig, Alexander Viehl, Benedikt Kämpgen, Harald Eisenmann:
Ontology-Based Design of Space Systems. ISWC (2) 2016: 308-324 - [i1]Renato Cordeiro de Amorim, Christian Hennig:
Recovering the number of clusters in data sets with noise features using feature rescaling factors. CoRR abs/1602.06989 (2016) - 2015
- [j15]Renato Cordeiro de Amorim, Christian Hennig:
Recovering the number of clusters in data sets with noise features using feature rescaling factors. Inf. Sci. 324: 126-145 (2015) - [j14]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): 674-683 (2015) - [j13]Christian Hennig:
What are the true clusters? Pattern Recognit. Lett. 64: 53-62 (2015) - [j12]Christian Hennig, Chien-Ju Lin:
Flexible parametric bootstrap for testing homogeneity against clustering and assessing the number of clusters. Stat. Comput. 25(4): 821-833 (2015) - [c8]Christian Hennig, Harald Eisenmann, Alexander Viehl, Oliver Bringmann:
On Languages for Conceptual Data Modeling in Multi-disciplinary Space Systems Engineering. MODELSWARD 2015: 384-393 - 2014
- [j11]Dankmar Böhning, Christian Hennig, Geoffrey J. McLachlan, Paul D. McNicholas:
The 2nd special issue on advances in mixture models. Comput. Stat. Data Anal. 71: 1-2 (2014) - [c7]Chien-Ju Lin, Christian Hennig, Chieh-Liang Huang:
Clustering and a Dissimilarity Measure for Methadone Dosage Time Series. ECDA 2014: 31-41 - [c6]Tobias Hoppe, Harald Eisenmann, Alexander Viehl, Oliver Bringmann, Christian Hennig:
Sicherstellen semantischer Integrität im Big Data Umfeld - Problemstellung und Lösungsansatz. GI-Jahrestagung 2014: 1215-1227 - 2013
- [j10]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): 455-458 (2013) - 2012
- [c5]Christian Hennig:
How Many Bee Species? A Case Study in Determining the Number of Clusters. GfKl 2012: 41-49 - 2011
- [j9]Nico Adams, Robert Hoehndorf, Georgios V. Gkoutos, Gesine Hansen, Christian Hennig:
PIDO: the primary immunodeficiency disease ontology. Bioinform. 27(22): 3193-3199 (2011) - [j8]Frank Hampel, Christian Hennig, Elvezio Ronchetti:
A smoothing principle for the Huber and other location M-estimators. Comput. Stat. Data Anal. 55(1): 324-337 (2011) - 2010
- [j7]Christian Hennig:
Methods for merging Gaussian mixture components. Adv. Data Anal. Classif. 4(1): 3-34 (2010) - [j6]Pietro Coretto, Christian Hennig:
A simulation study to compare robust clustering methods based on mixtures. Adv. Data Anal. Classif. 4(2-3): 111-135 (2010) - [c4]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: 224-228
2000 – 2009
- 2007
- [j5]Christian Hennig:
Cluster-wise assessment of cluster stability. Comput. Stat. Data Anal. 52(1): 258-271 (2007) - [c3]Christian Hennig, Pietro Coretto:
The Noise Component in Model-based Cluster Analysis. GfKl 2007: 127-138 - 2006
- [p2]Christian Hennig, Bernhard Hausdorf:
Design of Dissimilarity Measures: A New Dissimilarity Between Species Distribution Areas. Data Science and Classification 2006: 29-37 - 2005
- [c2]Daniel Müllensiefen, Christian Hennig:
Modeling Memory for Melodies. GfKl 2005: 732-739 - [p1]Christian Hennig:
Fuzzy and Crisp Mahalanobis Fixed Point Clusters. Data Analysis and Decision Support 2005: 47-56 - 2004
- [j4]Christian Hennig, Bernhard Hausdorf:
Distance-based parametric bootstrap tests for clustering of species ranges. Comput. Stat. Data Anal. 45(4): 875-895 (2004) - [c1]Christian Hennig:
A Method for Visual Cluster Validation. GfKl 2004: 153-160 - 2003
- [j3]Christian Hennig, Longin Jan Latecki:
The choice of vantage objects for image retrieval. Pattern Recognit. 36(9): 2187-2196 (2003) - 2002
- [j2]Christian Hennig:
Fixed Point Clusters for Linear Regression: Computation and Comparison. J. Classif. 19(2): 249-276 (2002) - 2000
- [j1]Christian Hennig:
Identifiablity of Models for Clusterwise Linear Regression. J. Classif. 17(2): 273-296 (2000)
Coauthor Index
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last updated on 2024-12-10 20:51 CET by the dblp team
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