Nonlinear Principal Component Analysis and Its Applications

Nonlinear Principal Component Analysis and Its Applications by Yuichi Mori, Masahiro Kuroda, Naomichi Makino.

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 ord...

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Bibliographic Details
Main Authors: Mori, Yuichi (Author), Kuroda, Masahiro (Author), Makino, Naomichi (Author)
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: Singapore : Springer Singapore : Imprint: Springer, 2016.
Edition:1st ed. 2016.
Series:JSS Research Series in Statistics,
Springer eBook Collection.
Subjects:
Statistics .
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Call Number: E-Book
Status: Available

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