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Volumn 4538 LNCS, Issue , 2007, Pages 228-239

A new greedy algorithm for improving b-coloring clustering

Author keywords

Clustering; Graph b coloring; Graph re coloring

Indexed keywords

BENCHMARKING; GRAPH THEORY; IDENTIFICATION (CONTROL SYSTEMS); ROBUSTNESS (CONTROL SYSTEMS);

EID: 38149038714     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-72903-7_21     Document Type: Conference Paper
Times cited : (9)

References (13)
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    • Elghazel, H., Deslandres, V., Hacid, M.S., Dussauchoy, A., Kheddouci, H.: A new clustering approach for symbolic data and its validation: Application to the healthcare data. In: Esposito, F., et al. (ed.) ISMIS 2006. LNCS (LNAI), vol. 4208, pp. 473-482. Springer Verlag, Heidelberg (2006)
  • 4
    • 0004173623 scopus 로고
    • Efficient algorithms for divisive hierarchical clustering with the diameter criterion
    • Guënoche, A., Hansen, P., Jaumard, B.: Efficient algorithms for divisive hierarchical clustering with the diameter criterion. Journal of Classification 8, 5-30 (1991)
    • (1991) Journal of Classification , vol.8 , pp. 5-30
    • Guënoche, A.1    Hansen, P.2    Jaumard, B.3
  • 7
    • 0001138328 scopus 로고
    • Algorithm as136: A k-means clustering algorithm
    • Hartigan, J., Wong, M.: Algorithm as136: A k-means clustering algorithm. Journal of Applied Statistics 28, 100-108 (1979)
    • (1979) Journal of Applied Statistics , vol.28 , pp. 100-108
    • Hartigan, J.1    Wong, M.2
  • 11
    • 0042341570 scopus 로고    scopus 로고
    • Clustering and its validation in a symbolic framework
    • Kalyani, M., Sushmita, M.: Clustering and its validation in a symbolic framework. Pattern Recognition Letters 24(14), 2367-2376 (2003)
    • (2003) Pattern Recognition Letters , vol.24 , Issue.14 , pp. 2367-2376
    • Kalyani, M.1    Sushmita, M.2
  • 12
    • 0036709106 scopus 로고    scopus 로고
    • Clarans: A method for clustering objects for spatial data mining
    • Ng, R., Han, J.: Clarans: a method for clustering objects for spatial data mining. IEEE Transactions on Knowledge and Data. Engineering 14(5), 1003-1016 (2002)
    • (2002) IEEE Transactions on Knowledge and Data. Engineering , vol.14 , Issue.5 , pp. 1003-1016
    • Ng, R.1    Han, J.2
  • 13
    • 0014976008 scopus 로고
    • Graph-theoretical methods for detecting and describing gestalt clusters
    • ZAHN, C.T.: Graph-theoretical methods for detecting and describing gestalt clusters. IEEE Transactions on Computers 20, 68-86 (1971)
    • (1971) IEEE Transactions on Computers , vol.20 , pp. 68-86
    • ZAHN, C.T.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.