NP-hard approximation problems in overlapping clusteringBARTHELEMY, Jean-Pierre; BRUCKER, Francois.Journal of classification. 2001, Vol 18, Num 2, pp 159-183, issn 0176-4268Article

MCLUST : Software for model-based cluster analysisFRALEY, C; RAFTERY, A. E.Journal of classification. 1999, Vol 16, Num 2, pp 297-306, issn 0176-4268Article

Webmining: learning from the world wide webLARSEN, Jan; HANSEN, Lars Kai; HAVE, Anna Szymkowiak et al.Computational statistics & data analysis. 2002, Vol 38, Num 4, pp 517-532, issn 0167-9473Conference Paper

SpaRef: a clustering algorithm for multispectral imagesTRAN, Thanh N; WEHRENS, Ron; BUYDENS, Lutgarde M. C et al.Analytica chimica acta. 2003, Vol 490, Num 1-2, pp 303-312, issn 0003-2670, 10 p.Conference Paper

Clustering with dendrograms on interpretation variablesFORINA, M; ARMANINO, C; RAGGIO, V et al.Analytica chimica acta. 2002, Vol 454, Num 1, pp 13-19, issn 0003-2670, 7 p.Article

Agglomerative hierarchical clustering of continuous variables based on mutual informationKOJADINOVIC, Ivan.Computational statistics & data analysis. 2004, Vol 46, Num 2, pp 269-294, issn 0167-9473, 26 p.Article

A reinforcement learning approach to online clusteringLIKAS, A.Neural computation. 1999, Vol 11, Num 8, pp 1915-1932, issn 0899-7667Article

On the identifiability in the latent budget modelVAN DER ARK, L. A; VAN DER HEIJDEN, P. G. M; SIKKEL, D et al.Journal of classification. 1999, Vol 16, Num 1, pp 117-137, issn 0176-4268Article

One-mode classification of a three-way data matrixVICHI, M.Journal of classification. 1999, Vol 16, Num 1, pp 27-44, issn 0176-4268Article

Two-mode multi-partitioningROCCI, Roberto; VICHI, Maurizio.Computational statistics & data analysis. 2008, Vol 52, Num 4, pp 1984-2003, issn 0167-9473, 20 p.Article

Clustering of chemical databases by means of the projection of maximum overlapping sets similarity measurements onto multidimensional spacesCERRUELA GARCIA, Gonzalo; LUQUE RUIZ, Irene; GOMEZ-NIETO, Miguel Angel et al.Journal of mathematical chemistry. 2006, Vol 40, Num 3, pp 213-231, issn 0259-9791, 19 p.Conference Paper

Clustering objects on subsets of attributesFRIEDMAN, Jerome H; MEULMAN, Jacqueline J.Journal of the Royal Statistical Society. Series B, statistical methodology. 2004, Vol 66, pp 815-849, issn 1369-7412, 35 p., 4Article

Diameter dependence of the fine structure of the Raman G-band of single wall carbon nanotubes revealed by a Kohonen self-organizing mapKUKOVECZ, A; SMOLIK, M; BOKOVA, S. N et al.Chemical physics letters. 2003, Vol 381, Num 3-4, pp 434-440, issn 0009-2614, 7 p.Article

Interactive visualization of hierarchical clusters using MDS and MSTKIM, S.-S; SUNHEE KWON; COOK, D et al.Metrika (Heidelberg). 2000, Vol 51, Num 1, pp 39-51, issn 0026-1335Article

A generalized rand-index method for consensus clustering of separate partitions of the same data baseKRIEGER, A. M; GREEN, P. E.Journal of classification. 1999, Vol 16, Num 1, pp 63-89, issn 0176-4268Article

Creating the UK national statistics 2001 output area classificationVICKERS, Dan; REES, Phil.Journal of the Royal Statistical Society. Series A. Statistics in society (Print). 2007, Vol 170, pp 379-403, issn 0964-1998, 25 p., 2Conference Paper

Separation index and partial membership for clusteringWEILIANG QIU; JOE, Harry.Computational statistics & data analysis. 2006, Vol 50, Num 3, pp 585-603, issn 0167-9473, 19 p.Article

Classification des zones de distribution postale à partir d'historiques de flux quotidiens de courrier = Zone classification of postal distribution using historics of mail daily flowDESSERTAINE, Alain.La Revue de Modulad (Le Chesnay). 2001, Num 28, pp 63-77, issn 1145-895XConference Paper

Centrality Measures for Text Clustering : Statistics for Complex Problems: Permutation Testing Methos and Related TopicsFIOREDISTELLA IEZZI, Domenica.Communications in statistics. Theory and methods. 2012, Vol 41, Num 16-18, pp 3179-3197, issn 0361-0926, 19 p.Article

Multiple Spatio-Temporal Cluster Detection for Case Event Data: An Ordering-Based ApproachDEMATTEI, C; CUCALA, L.Communications in statistics. Theory and methods. 2011, Vol 40, Num 1-3, pp 358-372, issn 0361-0926, 15 p.Article

A new similarity measure and its use in determining the number of clusters in a multivariate data setVASSILIOU, A; TAMBOURATZIS, D. G; KOUTRAS, M. V et al.Communications in statistics. Theory and methods. 2004, Vol 33, Num 7, pp 1643-1666, issn 0361-0926, 24 p.Article

A study of parameter values for a Mahalanobis Distance fuzzy classifierDEEM, Peter J; EKLUND, Peter.Fuzzy sets and systems. 2003, Vol 137, Num 2, pp 191-213, issn 0165-0114, 23 p.Article

Data model and classification by trees : The minimum variance reduction (MVR) methodGASCUEL, O.Journal of classification. 2000, Vol 17, Num 1, pp 67-99, issn 0176-4268Article

Clustering rates and Chung type functional laws of the iterated logarithm for empirical and quantile processesVARRON, Davit.Annales de l'ISUP. 2011, Vol 55, Num 2-3, pp 3-26, issn 1626-1607, 24 p.Article

A clustering-based discretization for supervised learningGUPTA, Ankit; MEHROTRA, Kishan G; MOHAN, Chilukuri et al.Statistics & probability letters. 2010, Vol 80, Num 9-10, pp 816-824, issn 0167-7152, 9 p.Article