Clustering and Classification

ISBN-13: 9789810212872 / Angielski / Twarda / 1996 / 500 str.

Phipps Arabie

Opis

At a moderately advanced level, this book seeks to cover the areas of clustering and related methods of data analysis where major advances are being made. Topics include: hierarchical clustering; variable selection and weighting; additive trees and other network models; relevance of neural network models to clustering; the role of computational complexity in cluster analysis; latent class approaches to cluster analysis; theory and method with applications of a hierarchical classes model in psychology and psychopathology; combinatorial data analysis; clusterwise aggregation of relations; review of the Japanese-language results on clustering; review of the Russian-language results on clustering and multidimensional scaling; practical advances; and significance tests.