RKF-PCA: robust kernel fuzzy PCA
From MaRDI portal
Publication:280365
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
principal component analysiskernel methodkernel principal component analysisrobust principal component analysisfuzzy membershipreconstruction error
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
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
This page was built for publication: RKF-PCA: robust kernel fuzzy PCA