Nonlinear Principal Component Analysis and Its Applications

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This book expounds the principle and related applications of nonlinear principal component analysis (PCA), which is useful method to analyze mixed measurement levels data. 
In the part dealing with the principle, after a brief introduction of ordinary PCA, a PCA for categorical data (nominal and ordinal) is introduced as nonlinear PCA, in which an optimal scaling technique is used to quantify the c...
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This book expounds the principle and related applications of nonlinear principal component analysis (PCA), which is useful method to analyze mixed measurement levels data. 
In the part dealing with the principle, after a brief introduction of ordinary PCA, a PCA for categorical data (nominal and ordinal) is introduced as nonlinear PCA, in which an optimal scaling technique is used to quantify the c...
Read more
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  • Formats: pdf
  • ISBN: 9789811001598
  • Publication Date: 9 Dec 2016
  • Publisher: Springer Nature Singapore
  • Product language: English
  • Drm Setting: DRM