Mixture Model-Based Classification

個数:1
紙書籍版価格
¥21,584
  • 電子書籍
  • ポイントキャンペーン

Mixture Model-Based Classification

  • 著者名:McNicholas, Paul D.
  • 価格 ¥10,778 (本体¥9,799)
  • Chapman and Hall/CRC(2016/08/18発売)
  • 3月の締めくくり!Kinoppy 電子書籍・電子洋書 全点ポイント30倍キャンペーン(~3/31)
  • ポイント 2,910pt (実際に付与されるポイントはご注文内容確認画面でご確認下さい)
  • 言語:ENG
  • ISBN:9781482225662
  • eISBN:9781315356112

ファイル: /

Description

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.