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Mixture Model-Based Classification af Paul D. McNicholas

Mixture Model-Based Classification

(E-bog, PDF)

Beskrivelse: Mixture Model-Based Classification is the first monograph devoted to mixture model-based approaches to clustering and classification. This is both a book for establi... Læs mere

Mixture Model-Based Classification is the first monograph devoted to mixture model-based approaches to clustering and classification. This is both a b... Læs mere

Produktdetaljer:

Sprog:
Engelsk
ISBN-13:
9781482225679
Sideantal:
236
Udgivet:
18-08-2016
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(E-bog, ePub), Engelsk
kr. 462,76
 
kr. 639,95
-27%
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Forlagets beskrivelse
Mixture Model-Based Classification is the first monograph devoted to mixture model-based approaches to clustering and classification. This is both a book for established researchers and newcomers to the field. A history of mixture models as a tool for classification is provided and Gaussian mixtures are considered extensively, including mixtures of factor analyzers and other approaches for high-dimensional data. Non-Gaussian mixtures are considered, from mixtures with components that parameterize skewness and/or concentration, right up to mixtures of multiple scaled distributions. Several other important topics are considered, including mixture approaches for clustering and classification of longitudinal data as well as discussion about how to define a cluster.

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