Feature selection for unsupervised learning through local learning

Pattern Recognition Letters

Volumn 53, Issue , 2015, Pages 100-107

  Yao, Jin ^a   Mao, Qi ^b   Goodison, Steve ^c   Mai, Volker ^d   Sun, Yijun ^b,e  

^a University of Florida   (United States)

^b UNIVERSITY AT BUFFALO   (United States)

^c MAYO CLINIC   (United States)

^d UNIVERSITY OF FLORIDA COLLEGE OF MEDICINE   (United States)

^e the State University of New York   (United States)

Author keywords

Clustering; Feature selection; Manifold learning; Unsupervised learning

Indexed keywords

DATA STRUCTURES; FEATURE EXTRACTION; GENE EXPRESSION; ITERATIVE METHODS; UNSUPERVISED LEARNING;

CLUSTERING; COMPLEX DATA STRUCTURES; HIGH DIMENSIONAL SPACES; MANIFOLD LEARNING; MICROARRAY GENE EXPRESSION; OBJECTIVE FUNCTIONS; OPTIMIZATION PROBLEMS; STATISTICAL SIGNIFICANCE;

LEARNING ALGORITHMS;

EID: 84920071031     PISSN: 01678655     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patrec.2014.11.006     Document Type: Article

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