Handbook of Cluster Analysis
Hennig, C., M. Meila, F. Murtagh, and R. Rocci (Eds.). Handbook of Cluster Analysis. Chapman and Hall/CRC (2015).
Data Analysis (methodological: cluster analysis, mixtures,
robustness)
- C. Hennig Cluster validation by measurement of clustering characteristics relevant to the user Submitted (2017). Free version on arxiv.org.
- S. Tzeng, C. Hennig, Y.-F. Li and C.-J. Lin Distance for Functional Data Clustering Based on Smoothing Parameter Commutation Submitted (2017). Free version on arxiv.org.
- P. Coretto and C. Hennig A consistent and breakdown robust model-based clustering method Submitted (2016). Free version on arxiv.org.
- P. Coretto and C. Hennig Robust improper maximum likelihood: tuning, computation, and a comparison with other methods for robust Gaussian clustering Journal of the American Statistical Association 111 (2016), 1648-1659. Open access.
- C. Hennig and C. Viroli Quantile-based classifiers
Biometrika 103 (2016), 435-446. Free version on arxiv.org.
- C. Hennig Clustering strategy and method selection In Hennig, C., M. Meila, F. Murtagh, and R. Rocci (Eds.). Handbook of Cluster Analysis. Chapman and Hall/CRC (2015). Free version on arxiv.org.
- R. C. Amorim and C. Hennig Recovering the number of clusters in data sets with noise features using feature rescaling factors Information Sciences 324 (2015), 126-145, pdf (**). .
- C. Hennig What are the true clusters? Pattern Recognition Letters 64 (2015), 53-62. Open access.
- C. Hennig and C.-J. Lin Flexible parametric bootstrap for testing homogeneity against clustering and assessing the number of clusters Statistics and Computing 25 (2015), 821-833, Open access.
- L. Anderlucci and C. Hennig Clustering of categorical data: a comparison of a model-based and a distance-based approach Communications in Statistics - Theory and Methods 3(4), pp. 704-721 (2014) pdf (**).
- P. Coretto and C. Hennig Maximum likelihood estimation of heterogeneous mixtures of Gaussian and uniform distributions
Journal of Statistical Planning and Inference 141, 462-473 (2011).
pdf (**).
- F. Hampel, C. Hennig and E. Ronchetti A smoothing principle for the Huber and other location M-estimators Computational Statistics and Data Analysis 55, 324-337 (2011). pdf (**).
- P. Coretto and C. Hennig A simulation study to compare robust clustering methods based on mixtures Advances in Data Analysis and Classification 4, 111-135 (2010). pdf (**).
- C. Hennig Methods for merging Gaussian mixture components
. Advances in Data Analysis and Classification (2010) 4, 3-34.
pdf (***).
- C. Hennig Ridgeline plot and clusterwise stability as
tools for merging Gaussian mixture components In:
Locarek-Junge H, Weihs C (eds.): Classification as a Tool for Research.
Springer, Berlin, 2010, 109-116.
pdf (**).
- C. Hennig Dissolution and isolation robustness of fixed
point clusters pdf (**)
Okada, A.; Imaizumi, T.; Bock, H.-H.; Gaul, W. (Eds.):
Cooperation in Classification and Data Analysis
Proceedings of Two German-Japanese Workshops. Springer, Berlin 2009,
27-40.
- C. Hennig Dissolution point and isolation robustness:
robustness criteria for general cluster analysis methods.
pdf . Journal of
Multivariate Analysis 99 (2008), 1154-1176.
- C. Hennig and P. Coretto: The noise component in
model-based cluster analysis pdf
(**) . Preisach, C., Burkhardt,
H., Schmidt-Thieme, L. and Decker, R.
(eds.): Data Analysis, Machine Learning and Applications. Springer,
Berlin 2008, 127-138.
- C. Hennig and M. Kutlukaya: Some thoughts about the design
of loss functions.
pdf (**) .
REVSTAT 5 (2007), 19-39 .
- C. Hennig: Cluster-wise assessment of cluster stability
pdf (**) .
Computational Statistics and Data Analysis 52 (2007), 258-271.
- C. Hennig: Fuzzy and Crisp Mahalanobis Fixed Point
Clusters ps (**) . Baier, D., Decker, R.,
and Schmidt-Thieme, L. (Eds.): Data Analysis
and Decision Support. Springer, Heidelberg 2005, 47-56.
- C. Hennig: A method for visual cluster validation
pdf(**) . Weihs, C. and Gaul, W.
(eds.): Classification - The Ubiquitous
Challenge. Springer, Heidelberg 2005, 153-160.
- C. Hennig: Robustness of ML estimators of location-scale
mixtures pdf(**) .
Baier, D. and Wernecke, K.-D. (eds.):
Innovations in Classification, Data Science, and
Information Systems. Springer, Heidelberg 2005, 128-137.
- C. Hennig: Asymmetric linear dimension
reduction for classification
pdf/ps/abstract (**) Journal of Computational and Graphical
Statistics 13 (2004), 930-945 .
- C. Hennig: Breakdown points for maximum likelihood-estimators
of location-scale mixtures
pdf , Annals of Statistics
32 (2004), 1313-1340 .
- C. Hennig and B. Hausdorf:
Distance-based parametric bootstrap tests for
clustering of species ranges
pdf/ps/abstract (**) Computational Statistics and Data
Analysis 45 (2004), 875-896.
- C. Hennig: Clusters, Outliers, and Regression: Fixed Point
Clusters
html/pdf (*) from Science Direct (a preliminary version is
part of
Preprint 2000-02 , see below)
Journal of Multivariate Analysis 86 (2003) 183-212.
- C. Hennig: Fixed point clusters for linear regression:
computation and comparison pdf (*) from JoC website (a preliminary version is part of
Preprint 2000-02 , see below)
Journal of Classification 19 (2002), 249-276
- C. Hennig and N. Christlieb: Validating visual clusters in
large datasets: fixed point clusters of spectral features
html/pdf (*) from Science Direct
Computational Statistics and Data Analysis 40 (2002), 723-739.
- C. Hennig: Identifiability of Models for Clusterwise Linear
Regression
pdf (*) from JoC website
Journal of Classification 17 (2000), 273-296
- C. Hennig: What Clusters are Generated by Normal Mixtures?
ps.gz (**)
Kiers, H.A.L., Rasson, J.-P., Groenen, P.J.F. and Schader,
M. (Eds.): Data Analysis, Classification, and Related Methods,
Springer, Berlin 2000, 53-58
- C. Hennig: Regression Fixed Point
Clusters: Motivation, Consistency and Simulations
ps.gz /
pdf (**) Preprint
2000-02, Fachbereich Mathematik - SPST, Hamburg, February 2000.
- C. Hennig and D. Pfeifer (Eds.):
Beiträge zur Herbsttagung der AG DA-NK der Gesellschaft für
Klassifikation Hamburg 5., 6.11. 1999.
Summaries of presentations held at the conference.
( Program ), Hamburger Beiträge zur
Modellierung und Simulation, Heft 13, Februar 2000.
- C. Hennig: Models and Methods for Clusterwise Linear
Regression ps.gz (**)
Gaul, W. and Locarek-Junge, H. (eds.): Classification in
the Information Age, Springer, Berlin 1999, 179-187
- C. Hennig: Clustering and Outlier
Identification: Fixed Point Cluster Analysis
ps.gz (**)
Rizzi, A., Vichi, M. and Bock, H.H. (eds.): Advances in Data
Science and Classification, Springer, Berlin 1998, 37-42
- C. Hennig: Fixed Point Clusters and their relation to
stochastic models
ps.gz (**) , Klar, R. and Opitz, O. (eds.): Classification
and knowledge organization, Springer, Berlin 1997, 20-28
- C. Hennig: Datenanalyse mit
Modellen für Cluster linearer Regression
(Data analysis by means of models for linear
regression clustering) ,
Dissertation, Universität Hamburg, 1997
- C. Hennig: Efficient High-Breakdown-Point
Estimators in Robust
Regression: Which Function to Choose ?
Statistics and Decisions 13 (1995), 221-241
Data Analysis (applications)
- S. E. Akhanli and C. Hennig Some Issues in Distance Construction for Football Players' Performance Data to appear in Archives of Data Science (2017).
- C. Hennig and S. E. Akhanli Football and the Dark Side of Cluster Analysis In Mucha, H.-J. (ed.) Big Data Clustering: Data Preprocessing, Variable Selection and Dimension Reduction WIAS Berlin (2017), 81-87. Open access.
- A. S. Nurinsiyah, H. Fauzia, C. Hennig, B. Hausdorf Native and introduced land snail species as ecological indicators in different land use types in Java. Ecological Indicators 70 (2016), 557-565. Open access.
- C.-J. Lin, C. Hennig and C.-L. Huang Clustering and a dissimilarity measure for methadone dosage time series In A.F.X. Wilhelm, H. A. Kestler (eds.) Analysis of Large and Complex Data Springer, Heidelberg (2016), 31-42. pdf (**).
- P. Williams and C. Hennig The effect of web page menu orientation on information retrieval performances of people with Learning Disabilities, Journal of the Association for Information Science and Technology 66 (2015), 674-683.
- P. Williams and C. Hennig Optimising website designs for people with learning disabilities, Journal of Research in Special Educational Needs 15 (2015), 25-36.
- H.-P. Fransen, A. M. May, M. D. Stricker, J. M. A. Boer, C. Hennig, Y. Rosseel, J. W. J. Beulens A Posteriori Dietary Patterns: How Many Patterns to Retain? Journal of Nutrition 144 (2014), 1274-1282.
- C. Hennig How many bee species? A case study in determining the number of clusters. M. Spiliopoulou, L. Schmidt-Thieme, R. Janning (eds.): Data Analysis, Machine Learning and Knowledge Discovery Springer, Berlin (2013), 41-49. pdf (**).
- C. Hennig and T. F. Liao How to find an appropriate clustering for
mixed type variables with application to
socioeconomic stratification. Journal of the Royal Statistical Science, Series C (Applied Statistics) 62, 309-369 (2013), with discussion.
pdf (**; contact me for the published version with discussion).
- A. Bevan, J. Conolly, C. Hennig, A. Johnston, A. Quercia, L. Spencer
and J. Vroom Measuring Chronological Uncertainty in Intensive
Survey Finds: A Case Study from Antikthera, Greece
Archaeometry 55.2, 312-328 (2013).
- D. Sarantaridis, C. Hennig and D. J. Caruana Potentiometric Tomography in Flames for Bioaerosol detection. Chemical Science 3, 2210-2216 (2012).
- B. Hausdorf and C. Hennig
Species Delimitation Using Dominant and Codominant Multilocus Markers.
Systematic Biology 59, 491-503 (2010).
- C. Hennig, D. Müllensiefen and
J. Bargmann Comparison of changes in a pretest-posttest design
with Likert scales.
pdf (**). Applied Psychological Measurement 34, 291-309 (2010).
- B. Hausdorf and C. Hennig: Null model tests of clustering
of species, negative co-occurrence patterns and nestedness in
meta-communities. html/pdf/abstract (*) Oikos
116 (2007), 818-828.
- C. Hennig and B. Hausdorf: Design of dissimilarity
measures: a new dissimilarity measure between species distribution
ranges ps (**) .
Batagelj, V.; Bock, H.-H.; Ferligoj, A.;
Ziberna, A. (Eds.): Data Science and Classification, Springer,
Berlin 2006, 29-38.
- C. Hennig and D. Müllensiefen: Modeling memory for
melodies ps (**) .
Spiliopoulou, M.; Kruse, R.; Borgelt, C.;
Nürnberger, A.; Gaul, W. (Eds.): From Data and Information
Analysis to Knowledge Engineering, Springer, Berlin 2006, 732-739.
- C. Hennig and B. Hausdorf: A robust distance coefficient
between distribution areas incorporating
geographic distances. html/pdf from Systematic Biology website (*) Systematic Biology 55 (2006),
170-175.
- B. Hausdorf and C. Hennig:
The influence of recent geography, palaeography and
climate on the composition of the faune of the central Aegean
Islands. Biological Journal of the Linnean Society 84
(2005), 785-795.
- C. Hennig: Classification and outlier identification
for the Gaia mission
pdf from ICAP-Website (**). Neural Network World 15 (2005),
335-342.
- B. Hausdorf and C. Hennig: Does vicariance shape
biotas? Biogeographical tests
of the vicariance model. Journal of
Biogeography 31 (2004), 1751-1757.
- D. Repsilber, C. Hennig and F. Scholz: On sources of variation
in expression of phosphoenolpyruvat-carboxylase in Norway spruce (Picea abies
(L.) Karst.): PEPC genotype, genetic background and growth temperature.
Forest Genetics 11 (2004), 71-79.
- B. Hausdorf and C. Hennig: Biotic Element
Analysis in Biogeography. Systematic
Biology website (*)
Systematic Biology 52 (2003), 717-723.
- C. Hennig and L. J. Latecki: The choice of vantage
objects for image retrieval ps.gz (**)
.
Pattern Recognition 36 (2003), 2187-2196.
- B. Hausdorf and C. Hennig: Nestedness of north-west
European land snail ranges
as a consequence of differential immigration from Pleistocene
glacial refuges.
html/pdf (*) from Oecologia website
Oecologia 135 (2003), 102-109 .
- P. Mischnick and C. Hennig:
A New Model for the Substitution Patterns in the Polymer Chain of
Polysaccharide Derivatives
html (*) from
Biomacromolecules website
Biomacromolecules 2 (2001), 180-184
- N. Christlieb, C. Hennig and L. Wisotzki:
Non-classical quasar selection methods in
Beiträge zur Herbsttagung der AG DA-NK der Gesellschaft für
Klassifikation Hamburg 1999. See above.
Foundations of Statistics and
Constructivist Philosophy
- A. Gelman and C. Hennig: Beyond subjective and objective in statistics. Journal of the Royal Statistical Society, Series A, accepted as discussion paper, discussed on 12 April 2017. Free version on RSS website.
- C. Hennig: Mathematical Models and Reality - a
Constructivist Perspective.
pdf (**)
Foundations of Science 15, 29-49 (2010) .
- C. Hennig: A Constructivist View of the Statistical
Quantification of Evidence.
(*)
Constructivist Foundations 5 (2009).
- C. Hennig: Falsification of propensity models by statistical
tests and the goodness-of-fit paradox.
pdf (**) .
Philosophia Mathematica 15 (2007), 166-192 .
- C. Hennig: The game of red and blue revisited: propensities,
subjective probabilities, and the goodness-of-fit paradox.
pdf . (2006).
- C. Hennig: How wrong models become useful - and correct models
become dangerous pdf (**)
in M. Schader, W. Gaul, M. Vichi (Eds.):
Between Data Science and Applied Data Analysis , Springer,
Berlin 2003, 235-243.
- C. Hennig: Confronting Data Analysis with
Constructivist Philosophy
pdf (**) in K. Jajuga, A. Sokolowski, H.-H. Bock (Eds.):
Classification, Clustering, and Data Analysis , Springer,
Berlin 2002,
235-244.
- C. Hennig: Ein konstruktivistischer Blick auf
mathematische Modelle
ps.gz /
pdf (**)
Zeitschrift für systemische Therapie 19 (2001),
147-159.
- C. Hennig: Konstruktivismus, Modellierung und Datenanalyse
html
from BOAG-website (2000)
Letters, discussions etc.
- A Commentary on Noyce, Küssner and Sollich: Quantifying Shapes.
pdf (*). Empirical Musicology Review 8, 158-160 (2013).
- Book review D. Mayo and A. Spanos (eds.): "Error and Inference"
pdf (*). Theoria 74, 245-247 (2012).
- Book review J. Williamson: "In Defence of Objective Bayesianism ".
Philosophia Mathematica 19, 219-225 (2011).
- Discussion of D. E. Tyler, F. Critchley, L. Dümbgen, H. Oja,
"Invariant Coordinate Selection",
pdf (**).
Journal of the Royal
Statistical Society, Series B 71 (2009).
- Letter concerning M. Simkin "My statistician could have painted
that! A statistical inquiry into modern art", Significance, September
2007 ASCII text, unshortened version
- Discussion of M. S. Handcock, A. E. Raftery, J. M. Tantrum
"Model-based clustering for social networks", Journal of the Royal
Statistical Society: Series A 170 (2007)
pdf (**)
- Discussion of R. Taplin "Enhancing statistical education by using
role-plays of consultations", Journal of the Royal Statistical
Society: Series A 170 (2007) ASCII text