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Volumn 4213 LNAI, Issue , 2006, Pages 115-126

Measuring constraint-set utility for partitional clustering algorithms

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; DATA MINING; LEARNING SYSTEMS; PERFORMANCE; SET THEORY;

EID: 33750288047     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11871637_15     Document Type: Conference Paper
Times cited : (133)

References (11)
  • 3
    • 84879571292 scopus 로고    scopus 로고
    • Distance metric learning, with application to clustering with side-information
    • Xing, E.P., Ng, A.Y., Jordan, M.I., Russell, S.: Distance metric learning, with application to clustering with side-information. In: NIPS 15. (2003)
    • (2003) NIPS , vol.15
    • Xing, E.P.1    Ng, A.Y.2    Jordan, M.I.3    Russell, S.4
  • 11
    • 84950632109 scopus 로고
    • Objective criteria for the evaluation of clustering methods
    • Rand, W.M.: Objective criteria for the evaluation of clustering methods. Journal of the American Statistical Association 66(366) (1971)
    • (1971) Journal of the American Statistical Association , vol.66 , Issue.366
    • Rand, W.M.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.