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Robust Methods for Data Reduction|Alessio Farcomeni

Robust Methods for Data Reduction

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Overview

This book gives a non-technical overview of robust data reduction techniques, encouraging the use of these important and useful methods in practical applications. The main areas covered include principal components analysis, sparse principal component analysis, canonical correlation analysis, factor analysis, clustering, double clustering, and d

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Details

  • ISBN-13: 9780367783518
  • ISBN-10: 0367783517
  • Publisher: CRC Press
  • Publish Date: March 2021
  • Dimensions: 9.21 x 6.14 x 0.62 inches
  • Shipping Weight: 0.93 pounds
  • Page Count: 297

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