articleTop 10% cited
A comparison of PCA, KPCA and ICA for dimensionality reduction in support vector machine
Neurocomputing · 2003 · Vol. 55(1-2) · pp. 321–336
Leilei Cao✉(Institute of High Performance Computing)Kok Seng Chua(National University of Singapore)W. K. Chong(National University of Singapore)H. P. Lee(Institute of High Performance Computing)Q. Gu(State Council of the People's Republic of China)
Blind Source Separation TechniquesSpectroscopy and Chemometric AnalysesNeural Networks and ApplicationsKernel principal component analysisPrincipal component analysisPattern recognition (psychology)Artificial intelligenceDimensionality reductionFeature extractionSupport vector machineComputer scienceIndependent component analysisFeature (linguistics)
Citations
578
FWCI
5.33
field-weighted impact
References
42
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97%
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The “independent components” of natural scenes are edge filters
Vision Research · 1997 · 2,262 citations
Nonlinear Component Analysis as a Kernel Eigenvalue Problem
Neural Computation · 1998 · 8,015 citations
Fast and robust fixed-point algorithms for independent component analysis
IEEE Transactions on Neural Networks · 1999 · 6,288 citations
Gene Selection for Cancer Classification using Support Vector Machines
Machine Learning · 2002 · 9,679 citations
Principal Component Analysis
Technometrics · 1988 · 8,686 citations
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