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Volumn 19, Issue 1, 2008, Pages 101-112

Hierarchical adaptive clustering

Author keywords

Adaptive clustering; Data mining; Hierarchical agglomerative clustering

Indexed keywords


EID: 42149177267     PISSN: 08684952     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (19)

References (17)
  • 1
    • 0013228191 scopus 로고
    • The classification performance of RDA
    • Technical Report 92-01, Dept. of Computer Science and Dept. of Mathematics and Statistics, James Cook University of North Queensland
    • Aeberhard, S., D. Coomans and O. de Vel (1992). The classification performance of RDA. Technical Report 92-01, Dept. of Computer Science and Dept. of Mathematics and Statistics, James Cook University of North Queensland.
    • (1992)
    • Aeberhard, S.1    Coomans, D.2    de Vel, O.3
  • 2
    • 33845886523 scopus 로고    scopus 로고
    • Adaptive Clustering: Better Representatives with Reinforcement Learning
    • Technical Report Number UH-CS-05-06, Department of Computer Science, University of Houston
    • Bagherjeiran, A., C.-F. Eick and R. Vilalta (2005). Adaptive Clustering: Better Representatives with Reinforcement Learning. Technical Report Number UH-CS-05-06, Department of Computer Science, University of Houston.
    • (2005)
    • Bagherjeiran, A.1    Eick, C.-F.2    Vilalta, R.3
  • 4
    • 85041763675 scopus 로고    scopus 로고
    • CorMac Technologies Inc, Canada
    • CorMac Technologies Inc, Canada (2005). Discover the Patterns in Your Data, http: //www.cormactech.com/neunet.
    • (2005) Discover the Patterns in Your Data, http
  • 5
    • 20844435440 scopus 로고    scopus 로고
    • Semi-supervised learning techniques: K-means clustering in OODB fragmentation
    • Vienna University of Technology, Austria, pp
    • Darabant, A.S., and A. Campan (2004a). Semi-supervised learning techniques: k-means clustering in OODB fragmentation. In IEEE International Conference on Computational Cybernetics ICCC 2004. Vienna University of Technology, Austria, pp. 333-338.
    • (2004) IEEE International Conference on Computational Cybernetics ICCC 2004 , pp. 333-338
    • Darabant, A.S.1    Campan, A.2
  • 14
    • 42149151997 scopus 로고    scopus 로고
    • Adaptive clustering using a core-based approach. Studia Universitatis "Babeş-Bolyai
    • Serban, G., and A. Campan (2005). Adaptive clustering using a core-based approach. Studia Universitatis "Babeş-Bolyai", Informatica, L(2), 33-40.
    • (2005) Informatica , vol.50 , Issue.2 , pp. 33-40
    • Serban, G.1    Campan, A.2
  • 16
    • 0025651706 scopus 로고
    • Multisurface method of pattern separation for medical diagnosis applied to breast cytology
    • Wolberg, W, and O.L. Mangasarian (1990). Multisurface method of pattern separation for medical diagnosis applied to breast cytology. In Proceedings of the National Academy of Sciences, U.S.A., vol. 87. pp. 9193-9196.
    • (1990) Proceedings of the National Academy of Sciences, U.S.A , vol.87 , pp. 9193-9196
    • Wolberg, W.1    Mangasarian, O.L.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.