Nonlinear Principal Component Analysis and Its Applications - SpringerBriefs in Statistics - Yuichi Mori - Books - Springer Verlag, Singapore - 9789811001574 - December 16, 2016
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Nonlinear Principal Component Analysis and Its Applications - SpringerBriefs in Statistics 1st ed. 2016 edition

Yuichi Mori

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Nonlinear Principal Component Analysis and Its Applications - SpringerBriefs in Statistics 1st ed. 2016 edition

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


110 pages, biography

Media Books     Paperback Book   (Book with soft cover and glued back)
Released December 16, 2016
ISBN13 9789811001574
Publishers Springer Verlag, Singapore
Pages 80
Dimensions 155 × 235 × 5 mm   ·   1.53 kg