Nonlinear Principal Component Analysis and Its Applications

• Κύριοι συγγραφείς: Mori, Yuichi (Συγγραφέας), Kuroda, Masahiro (Συγγραφέας), Makino, Naomichi (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Singapore : Springer Singapore : Imprint: Springer, 2016.
• Σειρά: SpringerBriefs in Statistics,
• Θέματα: 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...