Local and global structure preserving based feature selection

Neurocomputing

Volumn 89, Issue , 2012, Pages 147-157

  Ren, Yazhou ^a   Zhang, Guoji ^a   Yu, Guoxian ^a,b   Li, Xuan ^a  

^a SOUTH CHINA UNIVERSITY OF TECHNOLOGY   (China)

^b Krasnow Institute for Advanced Study   (United States)

Author keywords

Laplacian Score; Local and global structure; Normalized mutual information; Redundancy

Indexed keywords

ARTIFICIAL DATA; DATA MINING TASKS; DATA SETS; FACE DATABASE; FEATURE SELECTION METHODS; GLOBAL STRUCTURE; HIGH DIMENSIONAL DATA; HIGH REDUNDANCY; LAPLACIANS; LOCAL MANIFOLD STRUCTURE; NEAREST NEIGHBORHOOD; NEIGHBORHOOD GRAPHS; NORMALIZED MUTUAL INFORMATION; TWO-GRAPHS;

DATA MINING; LAPLACE TRANSFORMS; REDUNDANCY;

FEATURE EXTRACTION;

ANALYTIC METHOD; ARTICLE; DATA MINING; EXTENDED LOCAL AND GLOBAL STRUCTURE PRESERVING BASED FEATURE SELECTION; INFORMATION PROCESSING; INFORMATION SYSTEM; INFORMATION TECHNOLOGY; LAPLACIAN SCORE; LOCAL AND GLOBAL STRUCTURE PRESERVING BASED FEATURE SELECTION; PRESERVATION; PRIORITY JOURNAL; REDUNDANCY ANALYSIS; SCORING SYSTEM; STATISTICAL ANALYSIS;

EID: 84860249738     PISSN: 09252312     EISSN: 18728286     Source Type: Journal    
DOI: 10.1016/j.neucom.2012.02.021     Document Type: Article

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