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Volumn 4224 LNCS, Issue , 2006, Pages 707-712

Two phase semi-supervised clustering using background knowledge

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; CONSTRAINT THEORY; DATA MINING; DATA REDUCTION; KNOWLEDGE ACQUISITION;

EID: 33750536006     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11875581_85     Document Type: Conference Paper
Times cited : (6)

References (6)
  • 2
    • 18844383409 scopus 로고    scopus 로고
    • Clustering documents into a web directory for bootstrapping a supervised classification
    • Giordano Adami, Paolo Avesani and Diego Sona, Clustering documents into a web directory for bootstrapping a supervised classification, Data & Knowledge Engineering, Volume 54, Issue 3, pp. 301-325, 2005.
    • (2005) Data & Knowledge Engineering , vol.54 , Issue.3 , pp. 301-325
    • Adami, G.1    Avesani, P.2    Sona, D.3
  • 4
    • 17744381353 scopus 로고    scopus 로고
    • Identification of nuclear transients via optimized fuzzy clustering
    • E. Zio and P. Baraldi, Identification of nuclear transients via optimized fuzzy clustering, Annals of Nuclear Energy, Volume 32, Issue 10, pp. 1068-1080, 2005.
    • (2005) Annals of Nuclear Energy , vol.32 , Issue.10 , pp. 1068-1080
    • Zio, E.1    Baraldi, P.2
  • 6
    • 33646084850 scopus 로고    scopus 로고
    • Locally linear metric adaptation with application to semi-supervised clustering and image retrieval
    • Hong Chang and Dit-Yan Yeung, Locally linear metric adaptation with application to semi-supervised clustering and image retrieval, Pattern Recognition, Volume 39, Issue 7, pp. 1253-1264, 2006.
    • (2006) Pattern Recognition , vol.39 , Issue.7 , pp. 1253-1264
    • Chang, H.1    Yeung, D.-Y.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.