Nonlinear Principal Component Analysis and Its Applications

ISBN-13: 9789811001574 / Angielski / Miękka / 2016 / 80 str.

Yuichi Mori; Masahiro Kuroda; Naomichi Makino

Opis

This book expounds the principle and related applications of nonlinear principal component analysis (PCA), which is useful method to analyze mixed measurement levels data.

Recenzje

"This book endeavors to demonstrate the usefulness of theory and applications of the nonlinear PCA and MCA. The authors have written an interesting and high valuable book, which gives an excellent overview to the mathematical foundations and the statistical principles of its themes. At the end of each chapter, a short list of references is provided and this will help a reader wishing to pursue this area further." (Apostolos Batsidis, zbMATH, Vol. 1366.62011, 2017)

Spis treści

1. Introduction.- 2. Nonlinear Principal Component Analysis.- 3. Application.

O autorze

Yuichi Mori, Professor, Okayama University of Science Masahiro Kuroda Professor, Okayama University of Science