Mixture model-based classification

Mixture model-based classification

by McNicholas, Paul D.

Type Book
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Title Statements

  • Full title :Mixture model-based classification / Paul D. McNicholas, McMaster University, Ontario, Canada.

Edition Statements

  • Publication Date:2017

Publication Statements

Notes

"A Chapman & Hall book."

The Physical Object

  • Description:xxiv, 212 pages : : illustrations ; : 24 cm

Edition Identifiers

  • ISBN:9781482225662, 1482225662
  • oclc:ocn908375987
  • LC Classification:QA278.4
  • Dewey Decimal:519.5/35

Table of Contents

Machine generated contents note: 1.Introduction -- 1.1.Classification -- 1.2.Finite Mixture Models -- 1.3.Model-Based Clustering, Classification, and Discriminant Analysis -- 1.4.Comparing Partitions -- 1.5.R Packages -- 1.6.Datasets -- 1.7.Outline of the Contents of This Monograph -- 2.Mixtures of Multivariate Gaussian Distributions -- 2.1.Historical Development -- 2.2.Parameter Estimation -- 2.2.1.Model-Based Clustering -- 2.2.2.Model-Based Classification -- 2.2.3.Model-Based Discriminant Analysis -- 2.2.4.Initialization via Deterministic Annealing -- 2.2.5.Stopping Rules -- 2.3.Gaussian Parsimonious Clustering Models -- 2.4.Model Selection -- 2.5.Merging Gaussian Components -- 2.6.Illustrations -- 2.6.1.x2 Data -- 2.6.2.Banknote Data -- 2.6.3.Female Voles Data -- 2.6.4.Italian Olive Oil Data -- 2.7.Comments -- 3.Mixtures of Factor Analyzers and Extensions -- 3.1.Factor Analysis -- 3.1.1.The Model -- 3.1.2.An EM Algorithm for the Factor Analysis Model

Note continued: 3.1.3.Woodbury Identity -- 3.1.4.Comments -- 3.2.Mixture of Factor Analyzers -- 3.3.Parsimonious Gaussian Mixture Models -- 3.3.1.A Family of Eight Models -- 3.3.2.Parameter Estimation -- 3.3.3.Comments -- 3.4.Expa…

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