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Volumn 46, Issue 4, 2013, Pages 1220-1225

Comments on supervised feature selection by clustering using conditional mutual information-based distances

Author keywords

Classification; Clustering; Conditional mutual information; Feature selection; Mutual information properties; Naive Bayes classifier

Indexed keywords

CLASSIFIERS; FEATURE EXTRACTION; INFORMATION USE; LEARNING SYSTEMS;

EID: 84871288728     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patcog.2012.11.001     Document Type: Note
Times cited : (14)

References (13)
  • 1
    • 76749129275 scopus 로고    scopus 로고
    • Supervised feature selection by clustering using conditional mutual information-based distances
    • J. Martínez Sotoca, and F. Pla Supervised feature selection by clustering using conditional mutual information-based distances Pattern Recognition 43 2010 2068 2081
    • (2010) Pattern Recognition , vol.43 , pp. 2068-2081
    • Martínez Sotoca, J.1    Pla, F.2
  • 2
    • 24344458137 scopus 로고    scopus 로고
    • Feature selection based on mutual information criteria of max-dependency, max-relevance, and min-redundancy
    • H. Peng, F. Long, and C. Ding Feature selection based on mutual information criteria of max-dependency, max-relevance, and min-redundancy IEEE Transactions on Pattern Analysis and Machine Intelligence 27 2005 1226 1238
    • (2005) IEEE Transactions on Pattern Analysis and Machine Intelligence , vol.27 , pp. 1226-1238
    • Peng, H.1    Long, F.2    Ding, C.3
  • 4
    • 0242354222 scopus 로고    scopus 로고
    • Information-theoretic measures for knowledge discovery and data mining
    • Karmeshu (Eds.) Springer
    • Y.Y. Yao, Information-theoretic measures for knowledge discovery and data mining, in: Karmeshu (Eds.), Entropy Measures, Maximum Entropy Principle and Emerging Applications. Springer, 2003, pp. 115-136.
    • (2003) Entropy Measures, Maximum Entropy Principle and Emerging Applications , pp. 115-136
    • Yao, Y.Y.1
  • 12
    • 77958167275 scopus 로고    scopus 로고
    • Increasing and decreasing returns and losses in mutual information feature subset selection
    • G. Van Dijck, and M.M. Van Hulle Increasing and decreasing returns and losses in mutual information feature subset selection Entropy 12 2010 2144 2170
    • (2010) Entropy , vol.12 , pp. 2144-2170
    • Van Dijck, G.1    Van Hulle, M.M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.