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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| Médium: | Elektronický zdroj E-kniha |
|---|---|
| Jazyk: | angličtina |
| Vydáno: |
Singapore :
Springer Singapore ,
2018.
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| Vydání: | 1st ed. 2018. |
| Témata: | |
| ISBN: | 9789811067044 |
| On-line přístup: |
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| LEADER | 00000nam a22000005i 4500 | ||
|---|---|---|---|
| 003 | SK-BrCVT | ||
| 005 | 20220618114834.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 171213s2018 si | s |||| 0|eng d | ||
| 020 | |a 9789811067044 | ||
| 024 | 7 | |a 10.1007/978-981-10-6704-4 |2 doi | |
| 035 | |a CVTIDW06635 | ||
| 040 | |a Springer-Nature |b eng |c CVTISR |e AACR2 | ||
| 041 | |a eng | ||
| 245 | 1 | 0 | |a Advances in Principal Component Analysis |h [electronic resource] : |b Research and Development / |c edited by Ganesh R. Naik. |
| 250 | |a 1st ed. 2018. | ||
| 260 | 1 | |a Singapore : |b Springer Singapore , |c 2018. | |
| 300 | |a VII, 252 p. 94 illus., 75 illus. in color. |b online resource. | ||
| 500 | |a Engineering | ||
| 505 | 0 | |a 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 applications. | |
| 516 | |a text file PDF | ||
| 520 | |a 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. | ||
| 650 | 0 | |a Signal processing. | |
| 650 | 0 | |a Image processing. | |
| 650 | 0 | |a Speech processing systems. | |
| 650 | 0 | |a Pattern recognition. | |
| 650 | 0 | |a Computational intelligence. | |
| 650 | 0 | |a Computer mathematics. | |
| 650 | 0 | |a Biomedical engineering. | |
| 856 | 4 | 0 | |u http://hanproxy.cvtisr.sk/han/cvti-ebook-springer-eisbn-978-981-10-6704-4 |y Vzdialený prístup pre registrovaných používateľov |
| 910 | |b ZE03915 | ||
| 919 | |a 978-981-10-6704-4 | ||
| 974 | |a andrea.lebedova |f Elektronické zdroje | ||
| 992 | |a SUD | ||
| 999 | |c 272142 |d 272142 | ||