Kernel Principal Component Analysis: Applications, Implementation and Comparison

DOI10.1007/978-1-4614-8588-9_9zbMath1344.68191OpenAlexW5114324MaRDI QIDQ2820113

Pando Grigorov Georgiev, Daniel Olsson, Panos M. Pardalos

Publication date: 13 September 2016

Published in: Springer Proceedings in Mathematics & Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-1-4614-8588-9_9

zbMATH Keywords

dimension reductionkernel regressionreproducing kernel Hilbert spacekernel principal component analysisnearest neighbor

Mathematics Subject Classification ID

Factor analysis and principal components; correspondence analysis (62H25) Learning and adaptive systems in artificial intelligence (68T05) Hilbert spaces with reproducing kernels (= (proper) functional Hilbert spaces, including de Branges-Rovnyak and other structured spaces) (46E22)

Uses Software

• Matlab

Cites Work

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• Principal component analysis.
• On the mathematical foundations of learning
• Nearest neighbor pattern classification

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