RKF-PCA: robust kernel fuzzy PCA

DOI10.1016/J.NEUNET.2009.06.013zbMath1336.62159DBLPjournals/nn/HeoGF09OpenAlexW2008241367WikidataQ49133864 ScholiaQ49133864MaRDI QIDQ280365

Paul D. Gader, Gyeongyong Heo, Hichem Frigui

Publication date: 10 May 2016

Published in: Neural Networks (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.neunet.2009.06.013

zbMATH Keywords

principal component analysiskernel methodkernel principal component analysisrobust principal component analysisfuzzy membershipreconstruction error

Mathematics Subject Classification ID

Factor analysis and principal components; correspondence analysis (62H25) Multivariate analysis and fuzziness (62H86)

Related Items (3)

RKF-PCA: robust kernel fuzzy PCA ⋮ Robust kernel discriminant analysis using fuzzy memberships ⋮ Extension of Fuzzy Principal Component Analysis to Type-2 Fuzzy Principal Component Analysis

Uses Software

• UCI-ml
• LIBSVM
• PRMLT

Cites Work

• Unnamed Item
• RKF-PCA: robust kernel fuzzy PCA
• KPCA for semantic object extraction in images
• Fuzzy \(c\)-varieties/elliptotypes clustering in reproducing kernel Hilbert space.
• Principal component analysis.
• Innovations in fuzzy clustering. Theory and applications.
• Estimating the Support of a High-Dimensional Distribution
• Spectral analysis of non-linear systems involving square-law operations
• Robust Statistics

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