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Visual Knowledge Discovery and Machine Learning|Boris Kovalerchuk

Visual Knowledge Discovery and Machine Learning

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Overview

Expands methods of knowledge discovery based on visual means
Generates new lossless visual representations of n-D data in 2-D that fully preserves n-D data with focus on Machine Learning/ Data Mining goals, in contrast with a generic visualization without a clearly specified goal
Provides clear interpretation of features of visual representations in terms of n-D data properties
Effectively usrees human vision capabilities of shape perception in mapping n-D data points into 2-D graphs
Recognizes n-D data structures such as hyper-tubes, hyper-planes, hyper-spheres, etc. using lossless visual data representations

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Details

  • ISBN-13: 9783319730394
  • ISBN-10: 3319730398
  • Publisher: Springer
  • Publish Date: January 2018
  • Dimensions: 9.21 x 6.14 x 0.81 inches
  • Shipping Weight: 1.44 pounds
  • Page Count: 317

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