메뉴 건너뛰기




Volumn 20, Issue 3, 2012, Pages 444-462

Collaborative fuzzy clustering algorithms: Some refinements and design guidelines

Author keywords

Collaborative and parallel fuzzy clustering; Design and selection guidelines; Distributed knowledge discovery; Validity indices

Indexed keywords

CLUSTERING DATA; COMPLEXITY ANALYSIS; DATA ENVIRONMENT; DISTRIBUTED DATA; DISTRIBUTED KNOWLEDGE DISCOVERY; FUZZY C-MEANS ALGORITHMS; NUMBER OF CLUSTERS; VALIDITY INDEX;

EID: 84873293546     PISSN: 10636706     EISSN: None     Source Type: Journal    
DOI: 10.1109/TFUZZ.2011.2175400     Document Type: Article
Times cited : (82)

References (60)
  • 4
    • 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," J. Cybern., vol. 3, pp. 32-57, 1973.
    • (1973) J. Cybern. , vol.3 , pp. 32-57
    • Dunn, J.1
  • 5
    • 0001457509 scopus 로고
    • Some methods for classification and analysis of multivariate observations
    • J. B. MacQueen, "Some methods for classification and analysis of multivariate observations," in Proc. 5th Berkeley Symp. Math. Statist. Probab., 1967, vol. 1, pp. 281-297.
    • (1967) Proc. 5th Berkeley Symp. Math. Statist. Probab. , vol.1 , pp. 281-297
    • Macqueen, J.B.1
  • 9
    • 0036885192 scopus 로고    scopus 로고
    • Collaborative fuzzy clustering
    • W. Pedrycz, "Collaborative fuzzy clustering," Pattern Recognit. Lett., vol. 23, no. 14, pp. 1675-1686, 2002.
    • (2002) Pattern Recognit. Lett. , vol.23 , Issue.14 , pp. 1675-1686
    • Pedrycz, W.1
  • 10
    • 46849094944 scopus 로고    scopus 로고
    • Collaborative clustering with the use of fuzzy cmeans and its quantification
    • W. Pedrycz and P. Rai, "Collaborative clustering with the use of fuzzy cmeans and its quantification," Fuzzy Sets Syst., vol. 159, no. 18, pp. 2399-2427, 2008.
    • (2008) Fuzzy Sets Syst. , vol.159 , Issue.18 , pp. 2399-2427
    • Pedrycz, W.1    Rai, P.2
  • 13
    • 0036495698 scopus 로고    scopus 로고
    • RACHET: An efficient cover-based merging of clustering hierarchies from distributed datasets
    • DOI 10.1023/A:1013988102576
    • N. Samatova, G. Ostrouchov, A. Geist, and A. Melechko, "RACHET: An efficient cover-based merging of clustering hierarchies from distributed datasets," Distrib. Parallel Databases, vol. 11, no. 2, pp. 157-180, 2002. (Pubitemid 34239169)
    • (2002) Distributed and Parallel Databases , vol.11 , Issue.2 , pp. 157-180
    • Samatova, N.F.1    Ostrouchov, G.2    Geist, Al.3    Melechko, A.V.4
  • 16
    • 13544255384 scopus 로고    scopus 로고
    • A privacy-sensitive approach to distributed clustering
    • DOI 10.1016/j.patrec.2004.08.003, PII S0167865504001801, ICARP 2003
    • S. Merugu and J. Ghosh, "A privacy-sensitive approach to distributed clustering," Pattern Recognit. Lett., vol. 26, no. 4, pp. 399-410, 2005. (Pubitemid 40220136)
    • (2005) Pattern Recognition Letters , vol.26 , Issue.4 , pp. 399-410
    • Merugu, S.1    Ghosh, J.2
  • 17
    • 33646053473 scopus 로고    scopus 로고
    • Inference in distributed data clustering
    • J. C. da Silva and M. Klusch, "Inference in distributed data clustering," Eng. Appl. Artif. Intell., vol. 19, no. 4, pp. 363-369, 2006.
    • (2006) Eng. Appl. Artif. Intell. , vol.19 , Issue.4 , pp. 363-369
    • Da Silva, J.C.1    Klusch, M.2
  • 19
    • 0016542694 scopus 로고
    • Optimal fuzzy partitions: A heuristic for estimating the parameters in a mixture of normal distributions
    • Aug.
    • J. Bezdek and J. Dunn, "Optimal fuzzy partitions: A heuristic for estimating the parameters in a mixture of normal distributions," IEEE Trans. Comput., vol. C-24, no. 8, pp. 835-838, Aug. 1975.
    • (1975) IEEE Trans. Comput. , vol.C-24 , Issue.8 , pp. 835-838
    • Bezdek, J.1    Dunn, J.2
  • 20
    • 0036905922 scopus 로고    scopus 로고
    • Fuzzy clustering with volume prototypes and adaptive cluster merging
    • Dec.
    • U. Kaymak and M. Setnes, "Fuzzy clustering with volume prototypes and adaptive cluster merging," IEEE Trans. Fuzzy Syst., vol. 10, no. 6, pp. 705-712, Dec. 2002.
    • (2002) IEEE Trans. Fuzzy Syst. , vol.10 , Issue.6 , pp. 705-712
    • Kaymak, U.1    Setnes, M.2
  • 21
    • 0024701488 scopus 로고
    • Unsupervised optimal fuzzy clustering
    • Jul.
    • I. Gath and A. Geva, "Unsupervised optimal fuzzy clustering," IEEE Trans. Pattern Anal. Mach. Intell., vol. 11, no. 7, pp. 773-780, Jul. 1989.
    • (1989) IEEE Trans. Pattern Anal. Mach. Intell. , vol.11 , Issue.7 , pp. 773-780
    • Gath, I.1    Geva, A.2
  • 22
    • 0031139176 scopus 로고    scopus 로고
    • Robust clustering methods: A unified view
    • PII S1063670697005961
    • R. Dave and R. Krishnapuram, "Robust clustering methods: A unified view," IEEE Trans. Fuzzy Syst., vol. 5, no. 2, pp. 270-293, May 1997. (Pubitemid 127768514)
    • (1997) IEEE Transactions on Fuzzy Systems , vol.5 , Issue.2 , pp. 270-293
    • Dave, R.N.1    Krishnapuram, R.2
  • 23
    • 0030703772 scopus 로고    scopus 로고
    • Implementation issues in the fuzzy c-medians clustering algorithm
    • P. Kersten, "Implementation issues in the fuzzy c-medians clustering algorithm," in Proc. 6th IEEE Int. Conf. Fuzzy Syst., 1997, vol. 2, pp. 957-962.
    • (1997) Proc. 6th IEEE Int. Conf. Fuzzy Syst. , vol.2 , pp. 957-962
    • Kersten, P.1
  • 24
    • 0034298140 scopus 로고    scopus 로고
    • Generalized fuzzy c-means clustering strategies using LP norm distances
    • Oct.
    • R. Hathaway, J.Bezdek, andY. Hu, "Generalized fuzzy c-means clustering strategies using LP norm distances," IEEE Trans. Fuzzy Syst., vol. 8, no. 5, pp. 576-582, Oct. 2000.
    • (2000) IEEE Trans. Fuzzy Syst. , vol.8 , Issue.5 , pp. 576-582
    • Hathaway, R.1    Bezdek, J.2    Hu, Y.3
  • 25
    • 0027595430 scopus 로고
    • A possibilistic approach to clustering
    • May
    • R. Krishnapuram and J. Keller, "A possibilistic approach to clustering," IEEE Trans. Fuzzy Syst., vol. 1, no. 2, pp. 98-110, May 1993.
    • (1993) IEEE Trans. Fuzzy Syst. , vol.1 , Issue.2 , pp. 98-110
    • Krishnapuram, R.1    Keller, J.2
  • 26
    • 0030214781 scopus 로고    scopus 로고
    • The possibilistic C-means algorithm: Insights and recommendations
    • PII S1063670696056238
    • R. Krishnapuram and J. Keller, "The possibilistic c-means algorithm: Insights and recommendations," IEEE Trans. Fuzzy Syst., vol. 4, no. 3, pp. 385-393, Aug. 1996. (Pubitemid 126777754)
    • (1996) IEEE Transactions on Fuzzy Systems , vol.4 , Issue.3 , pp. 385-393
    • Krishnapuram, R.1    Keller, J.M.2
  • 28
    • 26844532803 scopus 로고    scopus 로고
    • A possibilistic fuzzy c-means clustering algorithm
    • DOI 10.1109/TFUZZ.2004.840099
    • N. Pal, K. Pal, J. Keller, and J. Bezdek, "A possibilistic fuzzy c-means clustering algorithm," IEEE Trans. Fuzzy Syst., vol. 13, no. 4, pp. 517-530, Aug. 2005. (Pubitemid 41461446)
    • (2005) IEEE Transactions on Fuzzy Systems , vol.13 , Issue.4 , pp. 517-530
    • Pal, N.R.1    Pal, K.2    Keller, J.M.3    Bezdek, J.C.4
  • 29
    • 0030212286 scopus 로고    scopus 로고
    • Comments on 'A possibilistic approach to clustering'
    • Aug.
    • M. Barni, V. Cappellini, and A. Mecocci, "Comments on 'A possibilistic approach to clustering'," IEEE Trans. Fuzzy Syst., vol. 4, no. 3, pp. 393-396, Aug. 1996.
    • (1996) IEEE Trans. Fuzzy Syst. , vol.4 , Issue.3 , pp. 393-396
    • Barni, M.1    Cappellini, V.2    Mecocci, A.3
  • 30
    • 4344593829 scopus 로고    scopus 로고
    • An extension to possibilistic fuzzy cluster analysis
    • H. Timm, C. Borgelt, and C. Döring, R. Kruse, "An extension to possibilistic fuzzy cluster analysis," Fuzzy Sets Syst., vol. 147, no. 1, pp. 3-16, 2004.
    • (2004) Fuzzy Sets Syst. , vol.147 , Issue.1 , pp. 3-16
    • Timm, H.1    Borgelt, C.2    Döring, C.3    Kruse, R.4
  • 31
    • 79551622290 scopus 로고    scopus 로고
    • A robust automatic merging possibilistic clustering method
    • Feb.
    • M.-S. Yang and C.-Y. Lai, "A robust automatic merging possibilistic clustering method," IEEE Trans. Fuzzy Syst., vol. 19, no. 1, pp. 26-41, Feb. 2011.
    • (2011) IEEE Trans. Fuzzy Syst. , vol.19 , Issue.1 , pp. 26-41
    • Yang, M.-S.1    Lai, C.-Y.2
  • 32
    • 0032074027 scopus 로고    scopus 로고
    • Fuzzy clustering for symbolic data
    • PII S1063670698008066
    • Y. El-Sonbaty andM. Ismail, "Fuzzy clustering for symbolic data," IEEE Trans. Fuzzy Syst., vol. 6, no. 2, pp. 195-204, May 1998. (Pubitemid 128750054)
    • (1998) IEEE Transactions on Fuzzy Systems , vol.6 , Issue.2 , pp. 195-204
    • El-Sonbaty, Y.1    Ismail, M.A.2
  • 33
    • 0033281354 scopus 로고    scopus 로고
    • A fuzzy relative of the k-medoids algorithm with application to web document and snippet clustering
    • R. Krishnapuram, A. Joshi, and L. Yi, "A fuzzy relative of the k-medoids algorithm with application to web document and snippet clustering," in Proc. IEEE Fuzzy Syst. Conf., 1999, vol. 3, pp. 1281-1286.
    • (1999) Proc. IEEE Fuzzy Syst. Conf. , vol.3 , pp. 1281-1286
    • Krishnapuram, R.1    Joshi, A.2    Yi, L.3
  • 34
    • 0024475955 scopus 로고
    • Relational duals of the c-means clustering algorithms
    • R. J. Hathaway, J. W. Davenport, and J. C. Bezdek, "Relational duals of the c-means clustering algorithms," Pattern Recognit., vol. 22, no. 2, pp. 205-212, 1989.
    • (1989) Pattern Recognit. , vol.22 , Issue.2 , pp. 205-212
    • Hathaway, R.J.1    Davenport, J.W.2    Bezdek, J.C.3
  • 35
    • 0028667335 scopus 로고
    • Nerf c-means: Non-Euclidean relational fuzzy clustering
    • DOI 10.1016/0031-3203(94)90119-8
    • R. J. Hathaway and J.C.Bezdek, "Nerf c-means: Non-Euclidean relational fuzzy clustering," Pattern Recognit., vol. 27, no. 3, pp. 429-437, 1994. (Pubitemid 124017421)
    • (1994) Pattern Recognition , vol.27 , Issue.3 , pp. 429-437
    • Hathaway, R.J.1    Bezdek, J.C.2
  • 36
    • 60549106246 scopus 로고    scopus 로고
    • Density-weighted fuzzy c-means clustering
    • Feb.
    • R. Hathaway and Y. Hu, "Density-weighted fuzzy c-means clustering," IEEE Trans. Fuzzy Syst., vol. 17, no. 1, pp. 243-252, Feb. 2009.
    • (2009) IEEE Trans. Fuzzy Syst. , vol.17 , Issue.1 , pp. 243-252
    • Hathaway, R.1    Hu, Y.2
  • 38
    • 0022682981 scopus 로고
    • Efficient implementation of the fuzzy c-means clustering algorithms
    • Mar.
    • 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. PAMI-8, no. 2, pp. 248-255, Mar. 1986.
    • (1986) IEEE Trans. Pattern Anal. Mach. Intell. , vol.PAMI-8 , Issue.2 , pp. 248-255
    • Cannon, R.L.1    Dave, J.V.2    Bezdek, J.C.3
  • 39
    • 0037118557 scopus 로고    scopus 로고
    • Speeding up fuzzy c-means: Using a hierarchical data organisation to control the precision of membership calculation
    • DOI 10.1016/S0165-0114(01)00204-4, PII S0165011401002044
    • F. Hoppner, "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. (Pubitemid 34531612)
    • (2002) Fuzzy Sets and Systems , vol.128 , Issue.3 , pp. 365-376
    • Hoppner, F.1
  • 40
    • 0037390902 scopus 로고    scopus 로고
    • Fast accurate fuzzy clustering through data reduction
    • Apr.
    • S. Eschrich, J. Ke, L. Hall, and D. Goldgof, "Fast accurate fuzzy clustering through data reduction," IEEE Trans. Fuzzy Syst., vol. 11, no. 2, pp. 262-270, Apr. 2003.
    • (2003) IEEE Trans. Fuzzy Syst. , vol.11 , Issue.2 , pp. 262-270
    • Eschrich, S.1    Ke, J.2    Hall, L.3    Goldgof, D.4
  • 41
    • 78149327885 scopus 로고    scopus 로고
    • An efficient fuzzy c-means clustering algorithm
    • Washington, DC: IEEE Computer Society
    • M.-C. Hung and D.-L. Yang, "An efficient fuzzy c-means clustering algorithm," in Proc. IEEE Int. Conf. Data Mining. Washington, DC: IEEE Computer Society, 2001, pp. 225-232.
    • (2001) Proc. IEEE Int. Conf. Data Mining , pp. 225-232
    • Hung, M.-C.1    Yang, D.-L.2
  • 42
    • 0002384549 scopus 로고    scopus 로고
    • Fast fuzzy clustering
    • PII S0165011496002321
    • T. W. Cheng, D. B. Goldgof, and L. O. Hall, "Fast fuzzy clustering," Fuzzy Sets Syst., vol. 93, no. 1, pp. 49-56, 1998. (Pubitemid 128654353)
    • (1998) Fuzzy Sets and Systems , vol.93 , Issue.1 , pp. 49-56
    • Cheng, T.W.1    Goldgof, D.B.2    Hall, L.O.3
  • 43
    • 0036791571 scopus 로고    scopus 로고
    • Complexity reduction for large image processing
    • Oct.
    • N. Pal and J. Bezdek, "Complexity reduction for large image processing," IEEE Trans. Syst., Man, Cybern., vol. 32, no. 5, pp. 598-611, Oct. 2002.
    • (2002) IEEE Trans. Syst., Man, Cybern. , vol.32 , Issue.5 , pp. 598-611
    • Pal, N.1    Bezdek, J.2
  • 44
    • 0028667331 scopus 로고
    • New algorithms for solving the fuzzy clustering problem
    • DOI 10.1016/0031-3203(94)90118-X
    • M. S. Kamel and S. Z. Selim, "New algorithms for solving the fuzzy clustering problem," Pattern Recognit., vol. 27, no. 3, pp. 421-428, 1994. (Pubitemid 124017420)
    • (1994) Pattern Recognition , vol.27 , Issue.3 , pp. 421-428
    • Kamel, M.S.1    Selim, S.Z.2
  • 45
    • 0142094576 scopus 로고    scopus 로고
    • P-FCM: A proximity-based fuzzy clustering for user-centered web applications
    • V. Loia, W. Pedrycz, and S. Senatore, "P-FCM: A proximity-based fuzzy clustering for user-centered web applications," Int. J. Approx. Reason., vol. 34, no. 2-3, pp. 121-144, 2003.
    • (2003) Int. J. Approx. Reason. , vol.34 , Issue.2-3 , pp. 121-144
    • Loia, V.1    Pedrycz, W.2    Senatore, S.3
  • 47
    • 48249140474 scopus 로고    scopus 로고
    • Collaborative and knowledge-based fuzzy clustering
    • W. Pedrycz, "Collaborative and knowledge-based fuzzy clustering," Int. J. Innovat. Comput., Inf. Control, vol. 3, no. 1, pp. 1-12, 2007.
    • (2007) Int. J. Innovat. Comput., Inf. Control , vol.3 , Issue.1 , pp. 1-12
    • Pedrycz, W.1
  • 50
    • 77953113421 scopus 로고    scopus 로고
    • Relational generalizations of cluster validity indices
    • Aug.
    • I. Sledge, J. Bezdek, T. Havens, and J. Keller, "Relational generalizations of cluster validity indices," IEEE Trans. Fuzzy Syst., vol. 18, no. 4, pp. 771-786, Aug. 2010.
    • (2010) IEEE Trans. Fuzzy Syst. , vol.18 , Issue.4 , pp. 771-786
    • Sledge, I.1    Bezdek, J.2    Havens, T.3    Keller, J.4
  • 51
    • 33749142135 scopus 로고    scopus 로고
    • A fuzzy extension of the silhouette width criterion for cluster analysis
    • DOI 10.1016/j.fss.2006.07.006, PII S0165011406002892
    • R. Campello and E. Hruschka, "A fuzzy extension of the silhouette width criterion for cluster analysis," Fuzzy Sets Syst., vol. 157, no. 21, pp. 2858-2875, 2006. (Pubitemid 44467975)
    • (2006) Fuzzy Sets and Systems , vol.157 , Issue.21 , pp. 2858-2875
    • Campello, R.J.G.B.1    Hruschka, E.R.2
  • 53
    • 33748296225 scopus 로고    scopus 로고
    • Evolving clusters in gene-expression data
    • DOI 10.1016/j.ins.2005.07.015, PII S0020025505002331
    • E. R. Hruschka, R. J. Campello, and L. N. de Castro, "Evolving clusters in gene-expression data," Inf. Sci., vol. 176, no. 13, pp. 1898-1927, Jul. 2006. (Pubitemid 44321891)
    • (2006) Information Sciences , vol.176 , Issue.13 , pp. 1898-1927
    • Hruschka, E.R.1    Campello, R.J.G.B.2    De Castro, L.N.3
  • 54
    • 78649934960 scopus 로고    scopus 로고
    • Relative clustering validity criteria:Acomparative overview
    • L.Vendramin, R. J.G. B. Campello, and E. R. Hruschka, "Relative clustering validity criteria:Acomparative overview," Statist. Anal.DataMining, vol. 3, no. 4, pp. 209-235, 2010.
    • (2010) Statist. Anal.DataMining , vol.3 , Issue.4 , pp. 209-235
    • Vendramin, L.1    Campello, R.J.G.B.2    Hruschka, E.R.3
  • 55
    • 0032098774 scopus 로고    scopus 로고
    • Some newindexes of cluster validity
    • Jun.
    • J. Bezdek and N. Pal, "Some newindexes of cluster validity," IEEE Trans. Syst., Man, Cybern., vol. 28, no. 3, pp. 301-315, Jun. 1998.
    • (1998) IEEE Trans. Syst., Man, Cybern. , vol.28 , Issue.3 , pp. 301-315
    • Bezdek, J.1    Pal, N.2
  • 57
    • 58149513920 scopus 로고    scopus 로고
    • On the efficiency of evolutionary fuzzy clustering
    • R. Campello, E.Hruschka, andV. Alves, "On the efficiency of evolutionary fuzzy clustering," J. Heurist., vol. 15, pp. 43-75, 2009.
    • (2009) J. Heurist. , vol.15 , pp. 43-75
    • Campello, R.1    Hruschka, E.2    Alves, V.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.