Nonlinear Principal Component Analysis and Its Applications

• Main Authors: Mori, Yuichi (Author), Kuroda, Masahiro (Author), Makino, Naomichi (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Singapore : Springer Singapore : Imprint: Springer, 2016.
• Series: SpringerBriefs in Statistics,
• Subjects: Statistics.; Statistical Theory and Methods.; Statistics and Computing/Statistics Programs.; Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law.

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...