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Volumn , Issue , 2004, Pages 774-776

Supervised clustering - Algorithms and benefits

Author keywords

[No Author keywords available]

Indexed keywords

CLASS IMPURITY; GREEDY ALGORITHMS; SUPERVISED CLUSTERING; TOP DOWN SPLITTING ALGORITHM (TDS);

EID: 16244407365     PISSN: 10823409     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICTAI.2004.111     Document Type: Conference Paper
Times cited : (127)

References (14)
  • 1
    • 12244279779 scopus 로고    scopus 로고
    • Comparing and unifying search-based and similarity-based approaches to semi-supervised clustering
    • [BBM03], Washington DC, August
    • [BBM03] Basu, S., Bilenko,M., Mooney, R. "Comparing and Unifying Search-based and Similarity-Based Approaches to Semi-Supervised Clustering", in Proc. ICML03, pp. 42-29, Washington DC, August 2003.
    • (2003) Proc. ICML03 , pp. 42-129
    • Basu, S.1    Bilenko, M.2    Mooney, R.3
  • 2
    • 1942517347 scopus 로고    scopus 로고
    • Learning distance functions using equivalence relations
    • [BHSW03], Washington DC, August
    • [BHSW03] Bar-Hillel, A., Hertz, T., Shental, N., Weinshall, D. "Learning Distance Functions Using Equivalence Relations", in Proc. ICML03, Washington DC, August 2003.
    • (2003) Proc. ICML03
    • Bar-Hillel, A.1    Hertz, T.2    Shental, N.3    Weinshall, D.4
  • 5
    • 16244377265 scopus 로고    scopus 로고
    • Using representative-based clustering for nearest neighbor dataset editing
    • [EZV04]
    • [EZV04]: "Using Representative-Based Clustering for Nearest Neighbor Dataset Editing". → ICDM'04
    • ICDM'04
  • 6
    • 9444294778 scopus 로고    scopus 로고
    • From instance-level constraints to space-level constraints: Making the most of prior knowledge in data clustering
    • [KKM02], Sydney, Australia
    • [KKM02] Klein,D., Kamvar,S.-D., Manning, C. "From instance-level Constraints to Space-level Constraints: Making the Most of Prior Knowledge in Data Clustering", in Proc. ICML'02, Sydney, Australia.
    • Proc. ICML'02
    • Klein, D.1    Kamvar, S.-D.2    Manning, C.3
  • 8
    • 16244373223 scopus 로고    scopus 로고
    • Discriminative clustering: Optimal contingency tables by learning metrics
    • [SKN02]
    • [SKN02] Sinkkonen, J., Kaski, S., and Nikkila, J., "Discriminative Clustering: Optimal Contingency Tables by Learning Metrics ", ECML '02.
    • ECML '02
    • Sinkkonen, J.1    Kaski, S.2    Nikkila, J.3
  • 10
    • 34250666040 scopus 로고    scopus 로고
    • [UCIMLR] University of California at Irving
    • [UCIMLR] University of California at Irving, Machine Learning Repository, http://www.ics.uci.edu/~mlearn/MLRepository.html
    • Machine Learning Repository
  • 12
    • 0015361129 scopus 로고
    • Asymptotic properties of nearest neighbor rules using edited data
    • [W72]
    • [W72] Wilson, D.L., "Asymptotic Properties of Nearest Neighbor Rules Using Edited Data", IEEE Transactions on Systems, Man, and Cybernetics, 2:408-420, 1972.
    • (1972) IEEE Transactions on Systems, Man, and Cybernetics , vol.2 , pp. 408-420
    • Wilson, D.L.1
  • 13
    • 84879571292 scopus 로고    scopus 로고
    • Distance metric learning with applications to clustering with side information
    • [XNJ03], MIT Press
    • [XNJ03] Xing, E.P., Ng A., Jordan, M., Russell, S. "Distance Metric Learning with Applications to Clustering with Side Information", Advances in Neural Information Processing 15, MIT Press, 2003.
    • (2003) Advances in Neural Information Processing , vol.15
    • Xing, E.P.1    Ng, A.2    Jordan, M.3    Russell, S.4
  • 14
    • 16244404789 scopus 로고    scopus 로고
    • [Z04], Master's Thesis, University of Houston, Department of Computer Science, May, cs.uh.edu/~zhenzhao/ZhenghongThesis.zip
    • [Z04] Zhao, Z., "Evolutionary Computing and Splitting Algorithms for Supervised Clustering", Master's Thesis, University of Houston, Department of Computer Science, May 2004, cs.uh.edu/~zhenzhao/ZhenghongThesis.zip.
    • (2004) Evolutionary Computing and Splitting Algorithms for Supervised Clustering
    • Zhao, Z.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.