MSAFC: matrix subspace analysis with fuzzy clustering ability

DOI10.1007/S00500-013-1134-3zbMath1326.68221OpenAlexW2061212534MaRDI QIDQ894666

Jun Gao, Fu-lai Chung, Shi-Tong Wang

Publication date: 2 December 2015

Published in: Soft Computing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00500-013-1134-3

zbMATH Keywords

fuzzy clusteringmatrix based fuzzy maximum margin criterionmatrix subspace analysistwo-directional 2D feature extraction

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Pattern recognition, speech recognition (68T10)

Related Items (1)

MSAFC

Uses Software

• UCI-ml

Cites Work

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• A survey of multilinear subspace learning for tensor data
• Incremental learning of bidirectional principal components for face recognition
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• Theoretical analysis on feature extraction capability of class-augmented PCA
• Face recognition based on 2D Fisherface approach
• A wave-beam shift on reflection from a plane screen in an isotropic chiral medium
• Fuzzy Maximum Scatter Difference Discriminant Criterion Based Clustering Algorithm
• Generalized low rank approximations of matrices

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