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 [articolo]
Hennig C, What are the true clusters?, «PATTERN RECOGNITION LETTERS», 2015, 64, pp. 53 - 62 [articolo]
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 [articolo]
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 [articolo]
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 [capitolo di libro]
Laura Anderlucci; Christian Hennig, Clustering of categorical data: a comparison of different approaches, in: Quaderni di Statistica, Liguori, 2012, 14, pp. 1 - 4 (atti di: International Conferene on "Methods and Models for Latent Variables, Napoli, 17-19/05/2012) [Contributo in Atti di convegno]
