Rethinking PCA for Modern Data Sets: Theory, Algorithms, and Applications [Scanning the Issue]

The papers in this special issue introduce the reader to the theory, algorithms, and applications of principal component analysis (PCA) and its many extensions. The aim of PCA is to reduce the dimensionality of multivariate data while preserving as much of the relevant information as possible. It is...

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Veröffentlicht in:	Proceedings of the IEEE Jg. 106; H. 8; S. 1274 - 1276
Hauptverfasser:	Vaswani, Namrata, Chi, Yuejie, Bouwmans, Thierry
Format:	Journal Article Verlag
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.08.2018 The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Institute of Electrical and Electronics Engineers
Schlagworte:	Algorithm design and analysis Algorithms Clustering Computer Science Computer vision Data analysis Domains Fault detection Image Processing Medical imaging Multivariate analysis Principal component analysis Principal components analysis Recommender systems Special issues and sections Statistical analysis
ISSN:	0018-9219, 1558-2256
Online-Zugang:	Volltext
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