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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Bibliographic Details
Main Author: Kovalerchuk, Boris (Author)
Corporate Author: SpringerLink (Online service)
Format: e-Book
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2018.
Edition:1st ed. 2018.
Series:Intelligent Systems Reference Library, 144
Subjects:
Computational intelligence.
Artificial intelligence.
Computational Intelligence.
Artificial Intelligence.
Online Access:Full-text access
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Table of Contents:
  • 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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