Regaining sparsity in kernel principal components

Neurocomputing

Volumn 67, Issue 1-4 SUPPL., 2005, Pages 398-402

  Garcia Osorio C ^a   Fyfe, Colin ^a  

^a UNIVERSITY OF THE WEST OF SCOTLAND   (United Kingdom)

Author keywords

Kernel methods; Sparseness

Indexed keywords

CLASSIFICATION (OF INFORMATION); LINEAR SYSTEMS; REGRESSION ANALYSIS; VECTORS;

KERNEL PRINCIPAL COMPONENT ANALYSIS (KPCA); LINEAR OPERATIONS; SPARSITY;

PRINCIPAL COMPONENT ANALYSIS;

ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOANALYSIS; AUTOANALYZER; DATA ANALYSIS; INFORMATION PROCESSING; LINEAR SYSTEM; MATHEMATICAL ANALYSIS; MATHEMATICAL COMPUTING; MATHEMATICAL PARAMETERS; METHODOLOGY; PRIORITY JOURNAL; PROBABILITY; SAMPLING; WEIGHT;

EID: 21744434575     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neucom.2004.10.115     Document Type: Article

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3. B. Efron R. Tibshirani An Introduction to the Bootstrap 1993 Chapman & Hall London
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