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Volumn 3930 LNAI, Issue , 2006, Pages 229-238

Trail-and-error approach for determining the number of clusters

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTATIONAL METHODS; DATA REDUCTION; ERROR ANALYSIS; NUMBER THEORY; OPTIMIZATION;

EID: 33745767965     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11739685_24     Document Type: Conference Paper
Times cited : (6)

References (10)
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    • 0030381104 scopus 로고    scopus 로고
    • A validity measure for fuzzy clustering and its use in selecting optimal number of clusters
    • H. Rhee and K. Oh, "A Validity Measure for Fuzzy Clustering and Its Use in Selecting Optimal Number of Clusters," in Proceedings of IEEE, pp. 1020-1025, 1996.
    • (1996) Proceedings of IEEE , pp. 1020-1025
    • Rhee, H.1    Oh, K.2
  • 5
    • 0027595430 scopus 로고
    • A possibilistic approach to clustering
    • May
    • R. Krishnapuram and J. Keller, "A possibilistic approach to clustering," Fuzzy Systems, vol. 1, pp. 98-109, May 1993.
    • (1993) Fuzzy Systems , vol.1 , pp. 98-109
    • Krishnapuram, R.1    Keller, J.2
  • 6
    • 0034878572 scopus 로고    scopus 로고
    • A new validation index for determining the number of clusters in a data set
    • (Washington DC., USA), July
    • H. Sun, S. Wang, and Q. Jiang, "A new validation index for determining the number of clusters in a data set," in Proceedings of IJCNN, (Washington DC., USA), pp. 1852-1857, July 2001.
    • (2001) Proceedings of IJCNN , pp. 1852-1857
    • Sun, H.1    Wang, S.2    Jiang, Q.3
  • 7
    • 0033204902 scopus 로고    scopus 로고
    • An empirical comparison of four initialization methods for the k-means algorithm
    • J. Pena, J. Lozano, and P. Larranaga, "An empirical comparison of four initialization methods for the k-means algorithm," Pattern Recognition Letters, vol. 20, pp. 1027-1040, 1999.
    • (1999) Pattern Recognition Letters , vol.20 , pp. 1027-1040
    • Pena, J.1    Lozano, J.2    Larranaga, P.3
  • 8
    • 0021938963 scopus 로고
    • Clustering to minimize and maximum intercluster distance
    • T. Gonzalez, \Clustering to Minimize and Maximum Intercluster Distance," Theoretical Computer Science, vol. 38, pp. 293-306, 1985.
    • (1985) Theoretical Computer Science , vol.38 , pp. 293-306
    • Gonzalez, T.1
  • 10
    • 0029360028 scopus 로고
    • On cluster validity for the fuzzy C-means model
    • N. Pal and J. Bezdek, "On Cluster Validity for the Fuzzy C-Means Model," IEEE Trans. On Fuzzy Systems, vol. 3, no. 3, pp. 370-390, 1995.
    • (1995) IEEE Trans. on Fuzzy Systems , vol.3 , Issue.3 , pp. 370-390
    • Pal, N.1    Bezdek, J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.