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Volumn 4701 LNAI, Issue , 2007, Pages 359-370

Clustering trees with instance level constraints

Author keywords

[No Author keywords available]

Indexed keywords

CLUSTER ANALYSIS; CLUSTERING ALGORITHMS; CONSTRAINT THEORY; HIERARCHICAL SYSTEMS; SET THEORY;

EID: 38049185000     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-74958-5_34     Document Type: Conference Paper
Times cited : (20)

References (16)
  • 4
    • 14344264451 scopus 로고    scopus 로고
    • Integrating constraints and metric learning in semi-supervised clustering
    • Bilenko, M., Basu, S., Mooney, R.: Integrating constraints and metric learning in semi-supervised clustering. In: 21st Int'l Conf. on Machine Learning, pp. 81-88 (2004)
    • (2004) 21st Int'l Conf. on Machine Learning , pp. 81-88
    • Bilenko, M.1    Basu, S.2    Mooney, R.3
  • 6
    • 84880095768 scopus 로고    scopus 로고
    • Clustering with constraints: Feasibility issues and the Kmeans algorithm
    • Davidson, I., Ravi, S.: Clustering with constraints: Feasibility issues and the Kmeans algorithm. In: SIAM Int'l Data Mining Conf. (2005)
    • (2005) SIAM Int'l Data Mining Conf
    • Davidson, I.1    Ravi, S.2
  • 8
    • 9444294778 scopus 로고    scopus 로고
    • From instance-level constraints to space-level constraints: Making the most of prior knowledge in data clustering
    • Klein, D., Kamvar, S., Manning, C.: From instance-level constraints to space-level constraints: Making the most of prior knowledge in data clustering. In: 19th Int'l Conf. on Machine Learning, pp. 307-314 (2002)
    • (2002) 19th Int'l Conf. on Machine Learning , pp. 307-314
    • Klein, D.1    Kamvar, S.2    Manning, C.3
  • 11
    • 33745775676 scopus 로고    scopus 로고
    • Constraint based induction of multi-objective regression trees
    • Revised Selected and Invited Papers, pp
    • Struyf, J., Džeroski, S.: Constraint based induction of multi-objective regression trees. In: 4th Int'l Workshop on Knowledge Discovery in Inductive Databases: Revised Selected and Invited Papers, pp. 222-233 (2006)
    • (2006) 4th Int'l Workshop on Knowledge Discovery in Inductive Databases , pp. 222-233
    • Struyf, J.1    Džeroski, S.2
  • 12
  • 13
    • 0003408496 scopus 로고    scopus 로고
    • University of California, Department of Information and Computer Science, Irvine, CA
    • Merz, C., Murphy, P.: UCI repository of machine learning databases, University of California, Department of Information and Computer Science, Irvine, CA (1996), http://www.ics.uci.edu/~mlearn/MLRepository. html
    • (1996) UCI repository of machine learning databases
    • Merz, C.1    Murphy, P.2
  • 15
    • 3943113604 scopus 로고    scopus 로고
    • Theoretical comparison between the Gini index and information gain criteria
    • Raileanu, L., Stoffel, K.: Theoretical comparison between the Gini index and information gain criteria. Annals of Mathematics and Artificial Intelligence 41(1), 77-93 (2004)
    • (2004) Annals of Mathematics and Artificial Intelligence , vol.41 , Issue.1 , pp. 77-93
    • Raileanu, L.1    Stoffel, K.2
  • 16
    • 38049108305 scopus 로고    scopus 로고
    • Beam search induction and similarity constraints for predictive clustering trees
    • Revised Selected and Invited Papers to appear
    • Kocev, D., Struyf, J., Džeroski, S.: Beam search induction and similarity constraints for predictive clustering trees. In: 5th Int'l Workshop on Knowledge Discovery in Inductive Databases: Revised Selected and Invited Papers (to appear, 2007)
    • (2007) 5th Int'l Workshop on Knowledge Discovery in Inductive Databases
    • Kocev, D.1    Struyf, J.2    Džeroski, S.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.