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Volumn 16, Issue 5, 2005, Pages 799-809

Constrained partition model and K-means algorithm

Author keywords

Background knowledge; Clustering analysis; Constrained clustering; Machine learning; Semi supervised learning

Indexed keywords

ALGORITHMS; COMPUTATIONAL COMPLEXITY; CONSTRAINT THEORY; CONVERGENCE OF NUMERICAL METHODS; DATA HANDLING; LEARNING SYSTEMS; PERFORMANCE;

EID: 21144442378     PISSN: 10009825     EISSN: None     Source Type: Journal    
DOI: 10.1360/jos160799     Document Type: Article
Times cited : (22)

References (10)
  • 2
    • 21144437828 scopus 로고    scopus 로고
    • Intelligent clustering with instance-level constraints
    • Cornell University
    • Wagstaff K. Intelligent clustering with instance-level constraints [Ph.D. Thesis]. Cornell University, 2002.
    • (2002)
    • Wagstaff, K.1
  • 3
    • 85158080410 scopus 로고    scopus 로고
    • Clustering with instance-level constraints
    • Langley P.(ed.), San Francisco: Morgan Kaufmann Publishers
    • Wagstaff K, Cardie C. Clustering with instance-level constraints. In: Langley P, ed. Proc. of the 17th Int'l Conf. on Machine Learning (ICML 2000). San Francisco: Morgan Kaufmann Publishers, 2000. 1103-1110.
    • (2000) Proc. of the 17th Int'l Conf. on Machine Learning (ICML 2000) , pp. 1103-1110
    • Wagstaff, K.1    Cardie, C.2
  • 5
    • 0042377235 scopus 로고    scopus 로고
    • Constrained K-means clustering with background knowledge
    • Brodley C. and Danyluk A.P.(ed.), San Francisco: Morgan Kaufmann Publishers
    • Wagstaff K, Cardie C, Rogers S, Schroedl S. Constrained K-means clustering with background knowledge. In: Brodley C, Danyluk AP, eds. Proc. of the 18th Int'l Conf. on Machine Learning (ICML 2001). San Francisco: Morgan Kaufmann Publishers, 2001. 577-584.
    • (2001) Proc. of the 18th Int'l Conf. on Machine Learning (ICML 2001) , pp. 577-584
    • Wagstaff, K.1    Cardie, C.2    Rogers, S.3    Schroedl, S.4
  • 6
    • 0003408496 scopus 로고    scopus 로고
    • UCI repository of machine learning databases
    • Blake C, Merz J. UCI repository of machine learning databases. http://www.ics.uci.edu/-mlearn/MLRepository.html
    • Blake, C.1    Merz, J.2
  • 7
    • 9444294778 scopus 로고    scopus 로고
    • From instance-level constraints to space-level constraints: Making the most of prior knowledge in data clustering
    • Sammut C. and Hoffmann A.(ed.), San Francisco: Morgan Kaufmann Publishers
    • Klein D, Kamvar S, Manning C. From instance-level constraints to space-level constraints: Making the most of prior knowledge in data clustering. In: Sammut C, Hoffmann A, eds. Proc. of the 19th Int'l Conf. on Machine Learning (ICML 2002). San Francisco: Morgan Kaufmann Publishers, 2002. 307-314.
    • (2002) Proc. of the 19th Int'l Conf. on Machine Learning (ICML 2002) , pp. 307-314
    • Klein, D.1    Kamvar, S.2    Manning, C.3
  • 8
    • 85153959666 scopus 로고
    • Convergence properties of the K-means algorithm
    • Tesauro G., Touretzky D.S. and Leen T.K.(ed.), Cambridge: MIT Press
    • Bottou L, Bengio Y. Convergence properties of the K-means algorithm. In: Tesauro G, Touretzky DS, Leen TK, eds. Advances in Neural Information Processing Systems 7. Cambridge: MIT Press, 1995. 585-592.
    • (1995) Advances in Neural Information Processing Systems 7 , pp. 585-592
    • Bottou, L.1    Bengio, Y.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.