Open access peer-reviewed Edited Volume

Advances in Principal Component Analysis

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2,362 Chapter Downloads

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Academic Editor

Fausto Pedro García Márquez
Fausto Pedro García Márquez

University of Castile-La Mancha, Spain

Published25 August 2022

Doi10.5772/intechopen.97992

ISBN978-1-80355-766-3

Print ISBN978-1-80355-765-6

eBook (PDF) ISBN978-1-80355-767-0

Copyright year2022

Number of pages252

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Table of Contents

Open access  chapters

152
1
2. Identification of Multilinear Systems: A Brief Overview

By Laura-Maria Dogariu, Constantin Paleologu, Jacob Benesty and Silviu Ciochină

263
184
5. Variable Selection in Nonlinear Principal Component Analysis

By Hiroko Katayama, Yuichi Mori and Masahiro Kuroda

341
1
6. Space-Time-Parameter PCA for Data-Driven Modeling with Application to Bioengineering

By Florian De Vuyst, Claire Dupont and Anne-Virginie Salsac

131
1
7. Principal Component Analysis in Financial Data Science

By Stefana Janićijević, Vule Mizdraković and Maja Kljajić

311
1
244
1
131

IMPACT OF THIS BOOK AND ITS CHAPTERS

2,362 Total Chapter Downloads

7 Crossref Citations

19 Dimensions Citations

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