Advances in Principal Component Analysis Research and Development /

This book reports on the latest advances in concepts and further developments of principal component analysis (PCA), addressing a number of open problems related to dimensional reduction techniques and their extensions in detail. Bringing together research results previously scattered throughout man...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Naik, Ganesh R. (Editor)
Format: e-Book
Language:English
Published: Singapore : Springer Nature Singapore : Imprint: Springer, 2018.
Edition:1st ed. 2018.
Subjects:
Signal processing.
Pattern recognition systems.
Computational intelligence.
Mathematics > Data processing.
Biomedical engineering.
Signal, Speech and Image Processing .
Automated Pattern Recognition.
Computational Intelligence.
Computational Mathematics and Numerical Analysis.
Biomedical Engineering and Bioengineering.
Online Access:Full-text access
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Description
Summary:This book reports on the latest advances in concepts and further developments of principal component analysis (PCA), addressing a number of open problems related to dimensional reduction techniques and their extensions in detail. Bringing together research results previously scattered throughout many scientific journals papers worldwide, the book presents them in a methodologically unified form. Offering vital insights into the subject matter in self-contained chapters that balance the theory and concrete applications, and especially focusing on open problems, it is essential reading for all researchers and practitioners with an interest in PCA.
Physical Description:VII, 252 p. 94 illus., 75 illus. in color. online resource.
ISBN:9789811067044
DOI:10.1007/978-981-10-6704-4

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