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Volumn 2252, Issue , 2001, Pages 327-334

A Machine learning algorithm based on supervised clustering and classification

Author keywords

[No Author keywords available]

Indexed keywords

DATA MINING; DECISION TREES; DISCRIMINANT ANALYSIS; LEARNING ALGORITHMS; MACHINE LEARNING; NEURAL NETWORKS;

EID: 84875264852     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-45336-9_38     Document Type: Conference Paper
Times cited : (10)

References (10)
  • 6
    • 0034274591 scopus 로고    scopus 로고
    • A Comparison of Prediction Accuracy, Complexity, and Training Time of Thirty-three Old and New Classification Algorithms
    • Lim, T., Loh, W., Shih, Y.: A Comparison of Prediction Accuracy, Complexity, and Training Time of Thirty-three Old and New Classification Algorithms. Machine Learning, Vol. 40. (2000) 203-228.
    • (2000) Machine Learning , vol.40 , pp. 203-228
    • Lim, T.1    Loh, W.2    Shih, Y.3
  • 7
    • 0002039637 scopus 로고
    • Cancer Diagnosis via Linear Programming
    • Mangasarian, O. L., Wolberg, W. H.: Cancer Diagnosis via Linear Programming. SIAM News, Vol. 23(5). (1990) 1-18.
    • (1990) SIAM News , vol.23 , Issue.5 , pp. 1-18
    • Mangasarian, O.L.1    Wolberg, W.H.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.