Nonlinear Principal Component Analysis and Its Applications

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

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

“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)