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CLUSTERING & CLASSIFICATION - P Arabie

CLUSTERING & CLASSIFICATION

By: P Arabie (Editor), L J Hubert (Editor), G De Soete (Editor)

Paperback | 1 January 1996

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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.

Industry Reviews
"... there is such a wealth of information ... that even a beginner could learn a lot from it." Chance, 1997

You Can Find This Book In

Non-FictionScienceScience in GeneralMathematicsProbability & StatisticsComputing & I.T.Computer ScienceArtificial IntelligenceNeural Networks & Fuzzy SystemsBooktopia Publisher ServicesWorld Scientific PublishingComputer Networking & Communications
Applied MathematicsDatabases

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