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Volumn 2, Issue , 2004, Pages 491-496

Clustering nonlinearly separable and unbalanced data set

Author keywords

Deterministic Annealing; Kernel Based Methods; Nonlinear Separable Data; Unbalanced Data

Indexed keywords

DETERMINISTIC ANNEALING; KERNER BASED METHODS; NONLINEAR SEPARABLE DATA; UNBALANCED DATA;

EID: 10044253325     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (7)

References (19)
  • 3
    • 0026359031 scopus 로고
    • A simulated annealing algorithm for the clustering problem
    • S.Z. Selim and K.S. Alsulta, A simulated annealing algorithm for the clustering problem, Pattern Recognition, vol.24, no.10, pp.1003-1008, 1991.
    • (1991) Pattern Recognition , 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
    • K. Rose and E. Gurewitz and G.C. Fox, Statistical mechanics and phase transitions in clustering, Physical Review letters, vol.65, no.8, pp.945-948, 1990.
    • (1990) Physical Review Letters , vol.65 , Issue.8 , pp. 945-948
    • Rose, K.1    Gurewitz, E.2    Fox, G.C.3
  • 5
    • 84972811713 scopus 로고
    • Fuzzy shell-clustering and applications to circle detection in digital images
    • R.N. Dave, Fuzzy shell-clustering and applications to circle detection in digital images, Int.J.General Systems, vol.16, no.4, pp.343-355, 1990.
    • (1990) Int.J.General Systems , vol.16 , Issue.4 , pp. 343-355
    • Dave, R.N.1
  • 6
    • 0027697605 scopus 로고
    • An optimal graph theoretic approach to data clustering: Theory and its application to image segmentation
    • Nov
    • Z. Wu and R. Leahy, An optimal graph theoretic approach to data clustering: theory and its application to image segmentation IEEE Tran. on Pattern Analysis and Machine Intelligence, vol.15, no.11, pp.1101-1113, Nov 1993.
    • (1993) IEEE Tran. on Pattern Analysis and Machine Intelligence , vol.15 , Issue.11 , pp. 1101-1113
    • Wu, Z.1    Leahy, R.2
  • 8
    • 0033734771 scopus 로고    scopus 로고
    • A genetic clustering algorithm for data with non-spherical-shape clusters
    • L.Y. Tseng and S.B. Yang, A genetic clustering algorithm for data with non-spherical-shape clusters, Pattern Recognition, vol.33, no.7, pp.1251-1259, 2000.
    • (2000) Pattern Recognition , vol.33 , Issue.7 , pp. 1251-1259
    • Tseng, L.Y.1    Yang, S.B.2
  • 9
    • 0034297913 scopus 로고    scopus 로고
    • CLustering irregular shapes using high-order neurons
    • H. Lipson and H.T. Siegelmann, CLustering Irregular Shapes Using High-Order Neurons, Neural Computation, vol.12, no.10, pp.2331-2353, 2000.
    • (2000) Neural Computation , vol.12 , Issue.10 , pp. 2331-2353
    • Lipson, H.1    Siegelmann, H.T.2
  • 11
    • 34249753618 scopus 로고
    • Support vector networks
    • C. Cortes and V.N. Vapnik, Support vector networks, Machine Learning, vol.20, no.3, pp.273-297, 1995.
    • (1995) Machine Learning , vol.20 , Issue.3 , pp. 273-297
    • Cortes, C.1    Vapnik, V.N.2
  • 12
    • 0003836788 scopus 로고    scopus 로고
    • Nonlinear component analysis as a kernel eigenvalue problem
    • Max Planck Institute for Biological Cybernetics, Tubingen, Germany
    • B. Scholkopf and A.J. Smola and K.R. Muller, Nonlinear Component Analysis as a Kernel Eigenvalue Problem, technical report, Max Planck Institute for Biological Cybernetics, Tubingen, Germany, 1996.
    • (1996) Technical Report
    • Scholkopf, B.1    Smola, A.J.2    Muller, K.R.3
  • 14
    • 0036565280 scopus 로고    scopus 로고
    • Mercer kernel-based clustering in feature space
    • May
    • M. Girolami, Mercer kernel-based clustering in feature space IEEE Trans. on Neural Networks, vol.13, no.3, pp.780-784, May 2002.
    • (2002) IEEE Trans. on Neural Networks , vol.13 , Issue.3 , pp. 780-784
    • Girolami, M.1
  • 16
    • 11944266539 scopus 로고
    • Information theory and statistical mechanics
    • E.T. Jaynes, Information theory and statistical mechanics Physical Review, vol.106, no.4, pp.620-630, 1957.
    • (1957) Physical Review , vol.106 , Issue.4 , pp. 620-630
    • Jaynes, E.T.1
  • 19
    • 10044238446 scopus 로고    scopus 로고
    • Information support vector machines
    • School of Electrical and Electronic Engineering, NTU, Singapore
    • Q. Song, Information Support Vector Machines, technical report, School of Electrical and Electronic Engineering, NTU, Singapore, 2003.
    • (2003) Technical Report
    • Song, Q.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.