Nonlinear Principal Component Analysis and Its Applications

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
Call Number:Libro Electrónico
Main Authors: Mori, Yuichi (Author), Kuroda, Masahiro (Author), Makino, Naomichi (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:Inglés
Published: Singapore : Springer Nature Singapore : Imprint: Springer, 2016.
Edition:1st ed. 2016.
Series:JSS Research Series in Statistics,
Subjects:
Statistics .
Mathematical statistics-Data processing.
Social sciences-Statistical methods.
Statistical Theory and Methods.
Statistics and Computing.
Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy.
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