Clustering and Classification

A look at classification as a discipline in itself. Of related interest.

An overview of combinatorial data analysis, P.Arabia and L.Hubert; hierarchical classification, A.D.Gordon; comparison of hierarchical clustering algorithms based on space-distorting properties, N.Ohsumi and N.Nakamura; a hierchical classes model; theory and method with applications in psychology and psychopathology, S.Rosenberg et al; an overview of additive trees and other network models, J.D.Carroll and G.De Soete; clusterwise aggregation of relations, W.Gaul and M.Schader; complexity theory: an introduction for practitioners of classification, W.H.E.Day; neural networks for clustering, F.Murtagh; variable selection and weighting in cluster analysis, G.De Soete; an overview of latent class approaches to cluster analysis, W.S.DeSarbo and G.de Soete; a review of cluster analysis research in Japan, A.Okada; clustering and multidimensional scaling in Russia (1960-1990): a review, B.G.Mirkin and I.Muchnik; practical advances in cluster analysis, G.W.Milligan; significance tests in cluster analysis, H.H.Bock.