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Volumn 1280, Issue , 1997, Pages 259-272

Dissimilarity measure for collections of objects and values

Author keywords

[No Author keywords available]

Indexed keywords

INFORMATION ANALYSIS; KNOWLEDGE BASED SYSTEMS; TOPOLOGY;

EID: 84949749091     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/bfb0052846     Document Type: Conference Paper
Times cited : (22)

References (20)
  • 3
    • 0242480962 scopus 로고
    • Why and how to define a similarity measure for object-based representation systems
    • N.J.I. Mars, Amsterdam, IOS Press
    • G. Bisson, ’Why and how to define a similarity measure for object-based representation systems’, in Towards Very Large Knowledge Bases, ed., N.J.I. Mars, pp. 236-246, Amsterdam, (1995). IOS Press.
    • (1995) Towards Very Large Knowledge Bases , pp. 236-246
    • Bisson, G.1
  • 5
    • 84949760759 scopus 로고
    • Objects, types and constraints as classification schemes
    • Santa Cruz (CA US)
    • C. Capponi, J. Euzenat, and J. Gensel, ’Objects, types and constraints as classification schemes’, in Proceedings of the 1st KRUSE symposium, pp. 69-73, Santa Cruz (CA US), (1995).
    • (1995) Proceedings of the 1St KRUSE Symposium , pp. 69-73
    • Capponi, C.1    Euzenat, J.2    Gensel, J.3
  • 8
    • 84949873053 scopus 로고
    • ’Conceptual clustering in structured domains: A theory guided approach
    • eds., E. Diday, Y. Lechevallier, M. Schader, P. Bertrand, and B. Burtschy, Berlin, Springer Verlag
    • F. Esposito, ’Conceptual clustering in structured domains: a theory guided approach’, in New Approaches in Classification and Data Analysis, eds., E. Diday, Y. Lechevallier, M. Schader, P. Bertrand, and B. Burtschy, pp. 395-404, Berlin, (1994). Springer Verlag.
    • (1994) New Approaches in Classification and Data Analysis , pp. 395-404
    • Esposito, F.1
  • 10
    • 0343442766 scopus 로고
    • Knowledge acquisition via incremental conceptual clustering
    • D.H. Fisher, ’Knowledge acquisition via incremental conceptual clustering’, Machine Learning, 2, 139-172, (1987).
    • (1987) Machine Learning , vol.2 , pp. 139-172
    • Fisher, D.H.1
  • 13
    • 0003046842 scopus 로고
    • Machine learning: An Artificial Intelligence approach
    • Tioga publishing company, Palo Alto (CA US
    • R. Michalski and R. Stepp, Machine learning: an Artificial Intelligence approach, volume 1, chapter Learning from observation: conceptual clustering, 331-363, Tioga publishing company, Palo Alto (CA US), 1983.
    • (1983) Chapter Learning from Observation: Conceptual Clustering , vol.1 , pp. 331-363
    • Michalski, R.1    Stepp, R.2
  • 17
    • 0001306005 scopus 로고
    • Knowledge and experience in unsupervised learning
    • Morgan Kaufman, San Mateo (CA US
    • K. Thompson and P. Langley, Knowledge and experience in unsupervised learning, chapter Concept formation in structured domains, 127-161, Morgan Kaufman, San Mateo (CA US), 1991.
    • (1991) Chapter Concept Formation in Structured Domains , pp. 127-161
    • Thompson, K.1    Langley, P.2
  • 18
    • 84949770072 scopus 로고    scopus 로고
    • Classification of concepts through products of concepts and abstract data types
    • eds., Y. Lechevallier E. Diday and O. Opitz, Heildelberg (DE), Springer Verlag
    • P. Valtchev and J. Euzenat, ’Classification of concepts through products of concepts and abstract data types’, in Ordinal and symbolic data analysis, eds., Y. Lechevallier E. Diday and O. Opitz, pp. 3-12, Heildelberg (DE), (1996). Springer Verlag.
    • (1996) Ordinal and Symbolic Data Analysis , pp. 3-12
    • Valtchev, P.1    Euzenat, J.2
  • 19
    • 12144250562 scopus 로고
    • Classification and dissimilarity analysis
    • Springer Verlag, New York
    • B. van Cutsem, Classification and dissimilarity analysis, Lecture notes in statistics, Springer Verlag, New York, 1994.
    • (1994) Lecture Notes in Statistics
    • van Cutsem, B.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.