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Volumn , Issue , 2001, Pages 299-304

Generalized clustering, supervised learning, and data assignment

Author keywords

Clustering; Iterative optimization; Supervised learning

Indexed keywords

ARTIFICIAL INTELLIGENCE; DATA REDUCTION; ITERATIVE METHODS; LEARNING ALGORITHMS; OPTIMIZATION; PROBABILITY DISTRIBUTIONS; PROBLEM SOLVING;

EID: 0035789280     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/502512.502555     Document Type: Conference Paper
Times cited : (21)

References (15)
  • 3
    • 0003578015 scopus 로고
    • Halsted Press, New York, 2nd edition
    • B. Everitt. Cluster Analysis. Halsted Press, New York, 2nd edition, 1980.
    • (1980) Cluster Analysis
    • Everitt, B.1
  • 4
    • 0027580356 scopus 로고
    • Very simple classification rules perform well on most commonly used data sets
    • R. C. Holte. Very simple classification rules perform well on most commonly used data sets. Machine Learning, 3:63-91, 1993.
    • (1993) Machine Learning , vol.3 , pp. 63-91
    • Holte, R.C.1
  • 7
    • 84904466277 scopus 로고
    • Carnegie-Mellon University, Department of Computer Science, Pittsburgh, PA
    • P. Langley and R. T. Neches. PRISM user's manual Technical report, Carnegie-Mellon University, Department of Computer Science, Pittsburgh, PA, 1981.
    • (1981) PRISM User's Manual Technical Report
    • Langley, P.1    Neches, R.T.2
  • 11
    • 0003046842 scopus 로고
    • Learning from observation: Conceptual clustering
    • R. S. Michalski, J. G. Carbonell, and T. M. Mitchell, editors, Morgan Kaufmann, San Francisco, CA
    • 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. Morgan Kaufmann, San Francisco, CA, 1983.
    • (1983) Machine Learning: An Artificial Intelligence Approach
    • Michalski, R.S.1    Stepp, R.E.2
  • 14
    • 0027552829 scopus 로고
    • Derivational analogy in PRODIGY: Automating case acquisition, storage, and utilization
    • M. M. Veloso and J. G. Carbonell. Derivational analogy in PRODIGY: Automating case acquisition, storage, and utilization. Machine Learning, 10:249-278, 1993.
    • (1993) Machine Learning , vol.10 , pp. 249-278
    • Veloso, M.M.1    Carbonell, J.G.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.