Visual Knowledge Discovery and Machine Learning

This book combines the advantages of high-dimensional data visualization and machine learning in the context of identifying complex n-D data patterns. It vastly expands the class of reversible lossless 2-D and 3-D visualization methods, which preserve the n-D information. This class of visual repres...

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Hlavný autor: Kovalerchuk, Boris (Autor)
Médium: Elektronický zdroj E-kniha
Jazyk:English
Vydavateľské údaje: Cham : Springer International Publishing, 2018.
Vydanie:1st ed. 2018.
Edícia:Intelligent Systems Reference Library, 144
Predmet:
Computational intelligence.
Artificial intelligence.
ISBN:9783319730400
ISSN:1868-4394 ;
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Obsah:
  • Motivation, Problems and Approach
  • General Line Coordinates (GLC)
  • Theoretical and Mathematical Basis of GLC
  • Adjustable GLCs for decreasing occlusion and pattern simplification
  • GLC Case Studies
  • Discovering visual features and shape perception capabilities in GLC
  • Interactive Visual Classification, Clustering and Dimension Reduction with GLC-L
  • Knowledge Discovery and Machine Learning for Investment Strategy with CPC.

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