Kernel clustering-based discriminant analysis

Pattern Recognition

Volumn 40, Issue 1, 2007, Pages 324-327

  Ma, Bo ^a   Qu, Hui yang ^b   Wong, Hau san ^b  

^a BEIJING INSTITUTE OF TECHNOLOGY   (China)

^b CITY UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

Clustering based discriminant analysis (CDA); Kernel clustering based discriminant analysis (KCDA); Kernel fuzzy c means; Kernel linear discriminant analysis (KLDA); Linear discriminant analysis (LDA)

Indexed keywords

ALGORITHMS; BENCHMARKING; COMPUTATIONAL METHODS; FEATURE EXTRACTION; FUZZY SETS;

CLUSTERING-BASED DISCRIMINANT ANALYSIS (CDA); KERNEL CLUSTERING-BASED DISCRIMINANT ANALYSIS (KCDA); KERNEL FUZZY C-MEANS; KERNEL LINEAR DISCRIMINANT ANALYSIS (KLDA); LINEAR DISCRIMINANT ANALYSIS (LDA);

DATA REDUCTION;

EID: 33749258406     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patcog.2006.05.033     Document Type: Article

References (4)

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3. K. Mizutani, S. Miyamoto, Possibilistic approach to kernel-based fuzzy c-means clustering with entropy regularization, Modeling Decisions for Artificial Intelligence, Second International Conference, MDAI 2005, Tsukuba, Japan, 2005, pp. 144-155.
4. Baudat G., and Anouar F. Generalized discriminant analysis using a kernel approach. Neural Comput. 12 (2000) 2385-2404