Advances in Principal Component Analysis : Research and Development / edited by Ganesh R. Naik

Mitwirkende(r):

Naik, Ganesh R [HerausgeberIn]

Resource type: Ressourcentyp: Buch (Online)Buch (Online)Sprache: Englisch Reihen: SpringerLink Bücher | Springer eBook Collection EngineeringVerlag: Singapore : Springer, 2018Beschreibung: Online-Ressource (VII, 252 p. 94 illus., 75 illus. in color, online resource)ISBN:

9789811067044

Schlagwörter:

Andere physische Formen: 9789811067037 | Erscheint auch als: 978-981-10-6703-7 Druck-Ausgabe | Printed edition: 9789811067037 DDC-Klassifikation:

621.382

MSC: MSC: *62-02 | 62H25 | 62PxxLOC-Klassifikation:

TK5102.9 TA1637-1638 TK7882.S65
TK5102.9
TA1637-1638
TK7882.S65

DOI: DOI: 10.1007/978-981-10-6704-4Online-Ressourcen:

Zusammenfassung: 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 PCAZusammenfassung: Theory -- Basic principles of PCA -- Geometric Principles of PCA -- Principal components and Correlation -- PCA in Regression analysis matrices -- PCA in cluster analysis -- PCA and factor analysis -- PCA for time series and independent data (ICA) -- Sparse PCA -- Non-negative PCA -- Applications of PCA -- PCA for Electrocardiography (ECG) applications -- PCA for Electroencephalography (EEG) applications -- PCA for Electromyography (EMG) applications -- PCA for bioinformatics and gene expression applications -- PCA for human movement science applications -- PCA for Gait Kinematics for Patients with Knee Osteoarthritis -- Neuroscience and biomedical application of PCA -- PCA applications for Brain Computer Interface (BCI) and motor imagery tasks -- PCA for Image processing applications -- PCA for Video processing applications -- PCA for dimensional reduction applications -- PCA for financial and economics applicationsPPN: PPN: 1658592778Package identifier: Produktsigel: ZDB-2-ENG | ZDB-2-SEB | ZDB-2-SXE

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