Nonlinear Principal Component Analysis and Its Applications (SpringerBriefs in Statistics)

Nonlinear Principal Component Analysis and Its Applications (SpringerBriefs in Statistics)

by Masahiro Kuroda (Contributor), Yuichi Mori (Author), Naomichi Makino (Contributor)

Synopsis

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

$65.00

Quantity

10 in stock

More Information

Format: Paperback
Pages: 88
Edition: 1st ed. 2016
Publisher: Springer
Published: 07 Nov 2016

ISBN 10: 981100157X
ISBN 13: 9789811001574