de Amorim RC; Hennig C, Recovering the number of clusters in data sets with noise features using feature rescaling factors, «INFORMATION SCIENCES», 2015, 324, pp. 126 - 145 [Scientific article]
Hennig C, What are the true clusters?, «PATTERN RECOGNITION LETTERS», 2015, 64, pp. 53 - 62 [Scientific article]
Fransen HP; May AM; Stricker MD; Boer JMA; Hennig C; Rosseel Y; Beulens JWJ, A Posteriori Dietary Patterns: How Many Patterns to Retain?, «JOURNAL OF NUTRITION», 2014, 144, pp. 1274 - 1282 [Scientific article]
Laura Anderlucci; Christian Hennig, Clustering of categorical data: a comparison of a model-based and a distance-based approach, «COMMUNICATIONS IN STATISTICS. THEORY AND METHODS», 2014, 43, pp. 704 - 721 [Scientific article]
Hennig C, How many bee species? a case study in determining the number of clusters, in: Data Analysis, Machine Learning and Knowledge Discovery, Berlin, Springer, 2014, pp. 41 - 49 [Chapter or essay]
Bevan A; Conolly J; Hennig C; Johnston A; Quercia A; Spencer L; Vroom J, Measuring Chronological Uncertainty in Intensive Survey Finds: A Case Study from Antikthera, Greece, «ARCHAEOMETRY», 2013, 55, pp. 312 - 328 [Scientific article]
Laura Anderlucci; Christian Hennig, Clustering of categorical data: a comparison of different approaches, in: Quaderni di Statistica, Liguori, «QUADERNI DI STATISTICA», 2012, 14, pp. 1 - 4 (atti di: International Conferene on "Methods and Models for Latent Variables, Napoli, 17-19/05/2012) [Contribution to conference proceedings]
Hennig, C, Dissolution point and isolation robustness: Robustness criteria for general cluster analysis methods, «JOURNAL OF MULTIVARIATE ANALYSIS», 2008, 99, pp. 1154 - 1176 [Scientific article]
Hennig, C, Asymmetric linear dimension reduction for classification, «JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS», 2004, 13, pp. 930 - 945 [Scientific article]
Hennig, C, Breakdown points for maximum likelihood estimators of location-scale mixtures, «ANNALS OF STATISTICS», 2004, 32, pp. 1313 - 1340 [Scientific article]
