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Volumn , Issue , 2010, Pages

A comparative study between fuzzy c-means and ckmeans algorithms

Author keywords

[No Author keywords available]

Indexed keywords

CLUSTERING PROCESS; COMPARATIVE STUDIES; FUZZY C MEAN; FUZZY C-MEANS ALGORITHMS; MATHEMATICAL EQUATIONS; PARTITION QUALITY;

EID: 77956635670     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/NAFIPS.2010.5548194     Document Type: Conference Paper
Times cited : (10)

References (23)
  • 3
    • 34248666540 scopus 로고
    • Fuzzy sets
    • L. Zadeh, "Fuzzy Sets," Inf. Control, vol. 8, pp. 338-353, 1965.
    • (1965) Inf. Control , vol.8 , pp. 338-353
    • Zadeh, L.1
  • 5
    • 33845495645 scopus 로고    scopus 로고
    • Fuzzy C-means clustering methods for symbolic interval data
    • F. Carvalho, "Fuzzy C-Means Clustering Methods for Symbolic Interval Data," Pattern Recogn. Lett., vol. 28, no. 4, pp. 423-437, 2007.
    • (2007) Pattern Recogn. Lett. , vol.28 , Issue.4 , pp. 423-437
    • Carvalho, F.1
  • 6
    • 84893405732 scopus 로고    scopus 로고
    • Data clustering: A review
    • A. Jain, M. Murty, and P. Flynn, "Data Clustering: a review," ACM Comput. Surv., vol. 31, no. 3, pp. 264-323, 1999.
    • (1999) ACM Comput. Surv. , vol.31 , Issue.3 , pp. 264-323
    • Jain, A.1    Murty, M.2    Flynn, P.3
  • 7
    • 77956639986 scopus 로고    scopus 로고
    • New modification of fuzzy c-means clustering algorithm
    • K. Zang, B. Li, and L. Xu, J. and Wu, "New Modification of Fuzzy c-Means Clustering Algorithm," Fuzzy Information and Engineering, vol. 1, pp. 445-448, 2009.
    • (2009) Fuzzy Information and Engineering , vol.1 , pp. 445-448
    • Zang, K.1    Li, B.2    Xu, L.3    Wu, J.4
  • 9
    • 0022682981 scopus 로고
    • Efficient implementation of the fuzzy c-means clustering algorithms
    • R. L. Cannon, J. V. Dave, and J. C. Bezdek, "Efficient implementation of the fuzzy c-means clustering algorithms," IEEE Trans. Pattern Anal. Mach. Intell., vol. 8, no. 2, pp. 248-255, 1986.
    • (1986) IEEE Trans. Pattern Anal. Mach. Intell. , vol.8 , Issue.2 , pp. 248-255
    • Cannon, R.L.1    Dave, J.V.2    Bezdek, J.C.3
  • 10
    • 0037118557 scopus 로고    scopus 로고
    • Speeding up fuzzy c-means: Using a hierarchical data organisation to control the precision of membership calculation
    • F. Höppner, "Speeding up fuzzy c-means: using a hierarchical data organisation to control the precision of membership calculation," Fuzzy Sets Syst., vol. 128, no. 3, pp. 365-376, 2002.
    • (2002) Fuzzy Sets Syst. , vol.128 , Issue.3 , pp. 365-376
    • Höppner, F.1
  • 12
    • 0029747684 scopus 로고    scopus 로고
    • Accelerated fuzzy c-means clustering algorithm
    • B. Bosachi, J.C. Bezdek (Eds)
    • D. Hershfinkel and I. Dinstein, "Accelerated fuzzy c-means Clustering Algorithm," in B. Bosachi, J.C. Bezdek (Eds.), Proc. SPIE Appl. Fuzzy Logic Technol. III 2761, 1996, pp. 41-52.
    • (1996) Proc. SPIE Appl. Fuzzy Logic Technol. III , vol.2761 , pp. 41-52
    • Hershfinkel, D.1    Dinstein, I.2
  • 14
  • 15
    • 57049095869 scopus 로고    scopus 로고
    • An new initialization method for fuzzy c-means algorithm
    • K. Zou, Z. Wang, and M. Hu, "An New Initialization Method for fuzzy c-means Algorithm," Fuzzy Optimization and Decision Making, vol. 7, no. 4, pp. 409-416, 2008.
    • (2008) Fuzzy Optimization and Decision Making , vol.7 , Issue.4 , pp. 409-416
    • Zou, K.1    Wang, Z.2    Hu, M.3
  • 16
    • 0015644825 scopus 로고
    • A fuzzy relative of the ISODATA process and its use in detecting compact well-separated clusters
    • J. Dunn, "A Fuzzy Relative of the ISODATA Process and Its Use in Detecting Compact Well-Separated Clusters," Journal of Cybernetics, vol. 3, pp. 32-57, 1973.
    • (1973) Journal of Cybernetics , vol.3 , pp. 32-57
    • Dunn, J.1
  • 18
    • 2942736990 scopus 로고    scopus 로고
    • Selecting variables for k-means cluster analysis by using a genetic algorithm that optimises the silhouettes
    • R. Lletí, M. Ortiz, L. Sarabia, and M. Sánchez, "Selecting Variables for k-means Cluster Analysis by Using a Genetic Algorithm that Optimises the Silhouettes," Analytica Chimica Acta, vol. 515, no. 1, pp. 87-100, 2004.
    • (2004) Analytica Chimica Acta , vol.515 , Issue.1 , pp. 87-100
    • Lletí, R.1    Ortiz, M.2    Sarabia, L.3    Sánchez, M.4
  • 20
    • 0002008196 scopus 로고
    • A modified fuzzy k-means for predictive classification
    • Amsterdam: H.H. Bock, ed. Elsevier Science
    • J. deGruijter and McBratney, "A Modified fuzzy k-means for Predictive Classification," in Classification and Related Methods of Data Analysis. Amsterdam: H.H. Bock, ed., Elsevier Science, 1988, pp. 97-104.
    • (1988) Classification and Related Methods of Data Analysis , pp. 97-104
    • DeGruijter, J.1    McBratney2
  • 21
    • 0000764772 scopus 로고
    • The use of multiple measurements in taxonomic problems
    • R. Fisher, "The Use of Multiple Measurements in Taxonomic Problems," Annals Eugen., vol. 7, pp. 179-188, 1936.
    • (1936) Annals Eugen. , vol.7 , pp. 179-188
    • Fisher, R.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.