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Volumn 153, Issue 5, 2006, Pages 557-568

Kernel-based deterministic annealing algorithm for data clustering

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; ANNEALING; DATABASE SYSTEMS; MAPPING;

EID: 33750162226     PISSN: 1350245X     EISSN: None     Source Type: Journal    
DOI: 10.1049/ip-vis:20050366     Document Type: Article
Times cited : (14)

References (30)
  • 3
    • 0026359031 scopus 로고
    • A simulated annealing algorithm for the clustering problem
    • 10.1016/0031-3203(91)90097-O 0031-3203
    • Selim, S.Z., and Alsulta, K.S.: ' A simulated annealing algorithm for the clustering problem ', Pattern Recognit., 1991, 24, (10), p. 1003-1008 10.1016/0031-3203(91)90097-O 0031-3203
    • (1991) Pattern Recognit. , vol.24 , Issue.10 , pp. 1003-1008
    • Selim, S.Z.1    Alsulta, K.S.2
  • 4
    • 0000389568 scopus 로고
    • Statistical mechanics and phase transitions in clustering
    • 10.1103/PhysRevLett.65.945 0031-9007
    • Rose, K., Gurewitz, E., and Fox, G.C.: ' Statistical mechanics and phase transitions in clustering ', Phys. Rev. Lett., 1990, 65, (8), p. 945-948 10.1103/PhysRevLett.65.945 0031-9007
    • (1990) Phys. Rev. Lett. , vol.65 , Issue.8 , pp. 945-948
    • Rose, K.1    Gurewitz, E.2    Fox, G.C.3
  • 6
    • 0035272287 scopus 로고    scopus 로고
    • An introduction to kernel based learning algorithms
    • 10.1109/72.914517 1045-9227
    • Muller, K.R., Mike, S., Ratsch, G., Tsuda, K., and Scholkopf, B.: ' An introduction to kernel based learning algorithms ', IEEE Trans. Neural Netw., 2001, 12, (2), p. 181-201 10.1109/72.914517 1045-9227
    • (2001) IEEE Trans. Neural Netw. , vol.12 , Issue.2 , pp. 181-201
    • Muller, K.R.1    Mike, S.2    Ratsch, G.3    Tsuda, K.4    Scholkopf, B.5
  • 8
    • 33750159752 scopus 로고    scopus 로고
    • Technical Report Max Planck Institute for Biological Cybernetics, Tubingen, Germany, 1996
    • ' Nonlinear component analysis as a kernel eigenvalue problem ', Technical Report, Max Planck Institute for Biological Cybernetics, Tubingen, Germany, 1996
  • 10
    • 33750195300 scopus 로고    scopus 로고
    • An unsupervised kernel based fuzzy c-means clustering algorithm with kernel normalization
    • 1469-0268
    • Zhou, S.M., and Gan, J.Q.: ' An unsupervised kernel based fuzzy c-means clustering algorithm with kernel normalization ', Int. J. Comput. Intell. Appl., 2004, 4, (4), p. 355-373 1469-0268
    • (2004) Int. J. Comput. Intell. Appl. , vol.4 , Issue.4 , pp. 355-373
    • Zhou, S.M.1    Gan, J.Q.2
  • 11
    • 0036565280 scopus 로고    scopus 로고
    • Mercer kernel-based clustering in feature space
    • 10.1109/TNN.2002.1000150 1045-9227
    • Girolami, M.: ' Mercer kernel-based clustering in feature space ', IEEE Trans. Neural Netw., 2002, 13, (3), p. 780-784 10.1109/TNN.2002.1000150 1045-9227
    • (2002) IEEE Trans. Neural Netw. , vol.13 , Issue.3 , pp. 780-784
    • Girolami, M.1
  • 12
    • 0348039965 scopus 로고    scopus 로고
    • Fuzzy c-varieties/elliptotypes clustering in reproducing kernel Hilbert space
    • 10.1016/S0165-0114(03)00184-2 0165-0114
    • Leski, J.M.: ' Fuzzy c-varieties/elliptotypes clustering in reproducing kernel Hilbert space ', Fuzzy Sets Syst., 2004, 141, p. 259-280 10.1016/S0165-0114(03)00184-2 0165-0114
    • (2004) Fuzzy Sets Syst. , vol.141 , pp. 259-280
    • Leski, J.M.1
  • 13
    • 4444347719 scopus 로고    scopus 로고
    • A novel kernelized fuzzy C-means algorithm with application in medical image segmentation
    • 10.1016/j.artmed.2004.01.012 0933-3657
    • Zhang, D.Q., and Chen, S.C.: ' A novel kernelized fuzzy C-means algorithm with application in medical image segmentation ', Artif. Intell. Med., 2004, 32, p. 37-50 10.1016/j.artmed.2004.01.012 0933-3657
    • (2004) Artif. Intell. Med. , vol.32 , pp. 37-50
    • Zhang, D.Q.1    Chen, S.C.2
  • 14
    • 3543098627 scopus 로고    scopus 로고
    • Robust image segmentation using FCM with spatial constraints based on new kernel-induced distance measure
    • 0018-9472
    • Zhang, D.Q., and Chen, S.C.: ' Robust image segmentation using FCM with spatial constraints based on new kernel-induced distance measure ', IEEE Trans. Syst. Man Cybern., 2004, 34, (4), p. 1907-1916 0018-9472
    • (2004) IEEE Trans. Syst. Man Cybern. , vol.34 , Issue.4 , pp. 1907-1916
    • Zhang, D.Q.1    Chen, S.C.2
  • 15
    • 0001089823 scopus 로고    scopus 로고
    • Support vector clustering
    • 10.1162/15324430260185565 1532-4435
    • Ben-Hur, A., Horn, D., Siegelmann, H.T., and Vapnik, V.N.: ' Support vector clustering ', J. Mach. Learn. Res., 2001, 2, p. 125-137 10.1162/15324430260185565 1532-4435
    • (2001) J. Mach. Learn. Res. , vol.2 , pp. 125-137
    • Ben-Hur, A.1    Horn, D.2    Siegelmann, H.T.3    Vapnik, V.N.4
  • 16
    • 0035894710 scopus 로고    scopus 로고
    • Clustering via Hilbert space
    • 10.1016/S0378-4371(01)00442-3 0378-4371
    • Horn, D.: ' Clustering via Hilbert space ', Physica A, 2001, 302, p. 70-79 10.1016/S0378-4371(01)00442-3 0378-4371
    • (2001) Physica A , vol.302 , pp. 70-79
    • Horn, D.1
  • 17
    • 0041877699 scopus 로고    scopus 로고
    • A new kernel-based fuzzy clustering approach: Support vector clustering with cell growing
    • 10.1109/TFUZZ.2003.814839 1063-6706
    • Chiang, J.H., and Hao, P.Y.: ' A new kernel-based fuzzy clustering approach: support vector clustering with cell growing ', IEEE Trans. Fuzzy Syst., 2003, 11, (4), p. 518-527 10.1109/TFUZZ.2003.814839 1063-6706
    • (2003) IEEE Trans. Fuzzy Syst. , vol.11 , Issue.4 , pp. 518-527
    • Chiang, J.H.1    Hao, P.Y.2
  • 18
    • 18144401294 scopus 로고    scopus 로고
    • A novel kernel method for clustering
    • 10.1109/TPAMI.2005.88 0162-8828
    • Camastra, F., and Verri, A.: ' A novel kernel method for clustering ', IEEE Trans. Pattern Anal. Mach. Intell., 2005, 27, (5), p. 801-805 10.1109/TPAMI.2005.88 0162-8828
    • (2005) IEEE Trans. Pattern Anal. Mach. Intell. , vol.27 , Issue.5 , pp. 801-805
    • Camastra, F.1    Verri, A.2
  • 19
    • 0012292950 scopus 로고    scopus 로고
    • Hierarchical, unsupervised learning with growing via phase transitions
    • 0899-7667
    • Miller, D., and Rose, K.: ' Hierarchical, unsupervised learning with growing via phase transitions ', Neural Comput., 1996, 8, (2), p. 427-452 0899-7667
    • (1996) Neural Comput. , vol.8 , Issue.2 , pp. 427-452
    • Miller, D.1    Rose, K.2
  • 20
    • 0027649303 scopus 로고
    • Constrained clustering as an optimization method
    • 10.1109/34.236251 0162-8828
    • Rose, K., Gurewitz, E., and Fox, G.C.: ' Constrained clustering as an optimization method ', IEEE Trans. Pattern Anal. Mach. Intell., 1993, 15, (8), p. 785-794 10.1109/34.236251 0162-8828
    • (1993) IEEE Trans. Pattern Anal. Mach. Intell. , vol.15 , Issue.8 , pp. 785-794
    • Rose, K.1    Gurewitz, E.2    Fox, G.C.3
  • 21
    • 0032202775 scopus 로고    scopus 로고
    • Deterministic annealing for clustering, compression, classification, regression, and related optimization problems
    • 10.1109/5.726788 0018-9219
    • Rose, K.: ' Deterministic annealing for clustering, compression, classification, regression, and related optimization problems ', Proc. IEEE, 1998, 86, (11), p. 2210-2239 10.1109/5.726788 0018-9219
    • (1998) Proc. IEEE , vol.86 , Issue.11 , pp. 2210-2239
    • Rose, K.1
  • 23
    • 34249753618 scopus 로고
    • Support vector networks
    • 0885-6125
    • Cortes, C., and Vapnik, V.N.: ' Support vector networks ', Mach. Learn., 1995, 20, (3), p. 273-297 0885-6125
    • (1995) Mach. Learn. , vol.20 , Issue.3 , pp. 273-297
    • Cortes, C.1    Vapnik, V.N.2
  • 27
    • 0036779072 scopus 로고    scopus 로고
    • Alternative c-means clustering algorithms
    • 10.1016/S0031-3203(01)00197-2 0031-3203
    • Wu, K.L., and Yang, M.S.: ' Alternative c-means clustering algorithms ', Pattern Recognit., 2002, 35, (10), p. 2267-2278 10.1016/S0031-3203(01)00197-2 0031-3203
    • (2002) Pattern Recognit. , vol.35 , Issue.10 , pp. 2267-2278
    • Wu, K.L.1    Yang, M.S.2
  • 28
    • 0033899728 scopus 로고    scopus 로고
    • Maximum certainty data partitioning
    • 10.1016/S0031-3203(99)00086-2 0031-3203
    • Roberts, S.J., Everson, R., and Rezek, I.: ' Maximum certainty data partitioning ', Pattern Recognit., 2000, 33, (5), p. 833-839 10.1016/S0031-3203(99)00086-2 0031-3203
    • (2000) Pattern Recognit. , vol.33 , Issue.5 , pp. 833-839
    • Roberts, S.J.1    Everson, R.2    Rezek, I.3
  • 29
    • 0015376113 scopus 로고
    • Computation of channel capacity and rate-distortion functions
    • 10.1109/TIT.1972.1054855 0018-9448
    • Blahut, R.E.: ' Computation of channel capacity and rate-distortion functions ', IEEE Trans. Inf. Theory, 1972, 18, (4), p. 460-473 10.1109/TIT.1972.1054855 0018-9448
    • (1972) IEEE Trans. Inf. Theory , vol.18 , Issue.4 , pp. 460-473
    • Blahut, R.E.1
  • 30
    • 27144559469 scopus 로고    scopus 로고
    • A robust information clustering algorithm
    • 10.1162/089976605774320548 0899-7667
    • Song, Q.: ' A robust information clustering algorithm ', Neural Comput., 2005, 17, (12), p. 2672-2698 10.1162/089976605774320548 0899-7667
    • (2005) Neural Comput. , vol.17 , Issue.12 , pp. 2672-2698
    • Song, Q.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.