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illustrated edition. 490 pages. 9.00x6.75x1.25 inches. In Stock. Codice articolo zk9810212879
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.
Product Description: Book by Arabie P
Titolo: Clustering and Classification
Casa editrice: World Scientific Pub Co Inc
Data di pubblicazione: 1996
Legatura: Paperback
Condizione: Brand New