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Mixture Model-Based Classification

Om Mixture Model-Based Classification

This work addresses classification using mixture models broadly. Unlike traditional treatments of the subject that heavily focus on unsupervised approaches, this book gives attention to unsupervised, semi-supervised, and supervised classification paradigms. Case studies illustrate both non-Gaussian and Gaussian approaches to model selection.

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  • Språk:
  • Engelska
  • ISBN:
  • 9781482225662
  • Format:
  • Inbunden
  • Sidor:
  • 236
  • Utgiven:
  • 19 Augusti 2016
  • Mått:
  • 236x160x18 mm.
  • Vikt:
  • 472 g.
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Leveranstid: 2-4 veckor
Förväntad leverans: 24 Juli 2024

Beskrivning av Mixture Model-Based Classification

This work addresses classification using mixture models broadly. Unlike traditional treatments of the subject that heavily focus on unsupervised approaches, this book gives attention to unsupervised, semi-supervised, and supervised classification paradigms. Case studies illustrate both non-Gaussian and Gaussian approaches to model selection.

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