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Volumn 1484, Issue , 1998, Pages 136-147

Robust incremental clustering with bad instance orderings: A new strategy

Author keywords

Data mining; Incremental clustering; Machine learning; Order effects

Indexed keywords

DATA MINING; LEARNING SYSTEMS;

EID: 22444454955     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-49795-1_12     Document Type: Conference Paper
Times cited : (8)

References (13)
  • 1
    • 0039794215 scopus 로고
    • Explorations of an incremental, bayesian algorithm for categorization
    • 141
    • J. R. Anderson and M. Matessa. Explorations of an incremental, bayesian algorithm for categorization. Machine Learning, (9):275-308, 1992. 141
    • (1992) Machine Learning , vol.9 , pp. 275-308
    • Anderson, J.R.1    Matessa, M.2
  • 4
    • 0343442766 scopus 로고
    • Knowledge acquisition via incremental conceptual clustering
    • 138, 141
    • D. H. Fisher. Knowledge acquisition via incremental conceptual clustering. Machine Learning, (2):139-172, 1987. 138, 141
    • (1987) Machine Learning , vol.2 , pp. 139-172
    • Fisher, D.H.1
  • 5
    • 0029678997 scopus 로고
    • Optimization and simplification of hierarchical clusterings
    • 137, 145
    • D. H. Fisher. Optimization and simplification of hierarchical clusterings. Journal of Artificial Intelligence Research, (4):147-180, 1995. 137, 145
    • (1995) Journal of Artificial Intelligence Research , vol.4 , pp. 147-180
    • Fisher, D.H.1
  • 6
    • 0011748574 scopus 로고
    • Conceptual clustering and its relation to numerical taxonomy
    • In W. A. Gale, editor, Addison- Wesley, Reading,MA, 136
    • D. H. Fisher and P. Langley. Conceptual clustering and its relation to numerical taxonomy. In W. A. Gale, editor, Artificial Intelligence and Statistics. Addison- Wesley, Reading,MA, 1986. 136
    • (1986) Artificial Intelligence and Statistics
    • Fisher, D.H.1    Langley, P.2
  • 11
    • 0003046842 scopus 로고
    • Learning from observation: Conceptual clustering
    • In R. S. Michalski, J. G. Carbonell, and T. M. Mitchell, editors, Morgan Kauffmann, San Mateo, CA, 137
    • R. S. Michalski and R. E. Stepp. Learning from observation: Conceptual clustering. In R. S. Michalski, J. G. Carbonell, and T. M. Mitchell, editors, Machine Learning: An Artificial intelligence approach, pages 331-363. Morgan Kauffmann, San Mateo, CA, 1983. 137
    • (1983) Machine Learning: An Artificial Intelligence Approach , pp. 331-363
    • Michalski, R.S.1    Stepp, R.E.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.