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Volumn 5476 LNAI, Issue , 2009, Pages 414-425

Feature Selection for Local Learning Based Clustering

Author keywords

[No Author keywords available]

Indexed keywords

BENCHMARK DATASETS; DATA REPRESENTATIONS; FEATURE SELECTION; LOCAL LEARNING;

EID: 67650700155     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-01307-2_38     Document Type: Conference Paper
Times cited : (9)

References (15)
  • 5
    • 27844550205 scopus 로고    scopus 로고
    • Feature selection for unsupervised and supervised inference: The emergence of sparsity in a weight-based approach
    • Wolf, L., Shashua, A.: Feature selection for unsupervised and supervised inference: The emergence of sparsity in a weight-based approach. Journal of Machine Learning Research 6, 1855-1887 (2005)
    • (2005) Journal of Machine Learning Research , vol.6 , pp. 1855-1887
    • Wolf, L.1    Shashua, A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.