000			03004nam a22003255i 4500
001			102946
003			DE-He213
005			20230102113107.0
007			cr nn 008mamaa
008			171213s2018 si | s |||| 0|eng d
020			_a9789811067044
024	7		_a10.1007/978-981-10-6704-4 _2doi
040			_aES-MaUEC _bspa
050		4	_aQA278.5 _bA383 2018 EB
245	1	0	_aAdvances in Principal Component Analysis _bResearch and Development _cedited by Ganesh R. Naik.
264		1	_aSingapore _bSpringer International Publishing _c2018
300			_a1 recurso en línea (VII, 252 páginas 94 ilustraciones, 75 ilustraciones a color)
347			_atext file _bPDF
505	0		_aTheory -- 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.
520	3		_aThis 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		7	_aAnálisis de correspondencias _9667327 _2embne
650		7	_aInformática _2embne _9139268
700	1		_aNaik, Ganesh R. _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _0http://id.loc.gov/authorities/names/n2013034301 _1http://viaf.org/viaf/304606920/ _9100202
776	0	8	_iEdición impresa: _z9789811067037
776	0	8	_iEdición impresa: _z9789811067051
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-10-6704-4 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
490	0		_aEngineering (Springer-11647)
988			_aEBSPRINGER_2018
998			_b02/2019 _dz _ek _feng _ggw _h0
999			_c102946 _d102946 _x1