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Volumn 110, Issue , 2004, Pages 435-439

Comparing conceptual, divisive and agglomerative clustering for learning taxonomies from text

Author keywords

[No Author keywords available]

Indexed keywords

CLUSTER ANALYSIS; FORMAL CONCEPT ANALYSIS;

EID: 85017371958     PISSN: 09226389     EISSN: 18798314     Source Type: Book Series    
DOI: None     Document Type: Conference Paper
Times cited : (70)

References (13)
  • 4
    • 0002546287 scopus 로고
    • Efficient algorithms for agglomerative hierarchical clustering methods
    • W. Day and H. Edelsbrunner, 'Efficient algorithms for agglomerative hierarchical clustering methods', J. of Classification, 1(7), (1984).
    • (1984) J. of Classification , vol.1 , Issue.7
    • Day, W.1    Edelsbrunner, H.2
  • 7
    • 0343442766 scopus 로고
    • Knowledge acquisition via incremental conceptual clustering
    • D. Fisher, 'Knowledge acquisition via incremental conceptual clustering', Machine Learning, (2), 139-172, (1987).
    • (1987) Machine Learning , Issue.2 , pp. 139-172
    • Fisher, D.1
  • 10
    • 85040151721 scopus 로고
    • Noun classification from predicate-argument structures
    • D. Hindle, 'Noun classification from predicate-argument structures', in Proceedings of the Annual Meeting of the ACL, pp. 268-275, (1990).
    • (1990) Proceedings of the Annual Meeting of the ACL , pp. 268-275
    • Hindle, D.1
  • 11
    • 4544242335 scopus 로고    scopus 로고
    • Measuring similarity between ontologies
    • Springer
    • A. Maedche and S. Staab, 'Measuring similarity between ontologies', in Proceedings of EKAW'02. Springer, (2002).
    • (2002) Proceedings of EKAW'02
    • Maedche, A.1    Staab, S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.