메뉴 건너뛰기




Volumn 51, Issue 4, 2004, Pages 732-747

An online cellular probabilistic self-organizing map for static and dynamic data sets

Author keywords

Expectation maximization (EM) algorithm; Online cellular probabilistic self organizing map (CPSOM); Soft topological vector quantization (STVQ); SOM

Indexed keywords

ALGORITHMS; COMPUTER SIMULATION; FUZZY SETS; MATHEMATICAL MODELS; OPTIMIZATION; PROBABILITY DISTRIBUTIONS; VECTOR QUANTIZATION;

EID: 2542578771     PISSN: 10577122     EISSN: None     Source Type: Journal    
DOI: 10.1109/TCSI.2004.826213     Document Type: Article
Times cited : (14)

References (21)
  • 1
    • 0020068152 scopus 로고
    • Self-organized formation of topologically correct feature maps
    • T. Kohonen, "Self-organized formation of topologically correct feature maps," Biol. Cybern., vol. 43, pp. 59-69, 1982.
    • (1982) Biol. Cybern. , vol.43 , pp. 59-69
    • Kohonen, T.1
  • 3
    • 0000439329 scopus 로고
    • A bayesian analysis of self-organizing maps
    • S. Luttrell, "A bayesian analysis of self-organizing maps," Neur. Comput., vol. 6, pp. 767-794, 1994.
    • (1994) Neur. Comput. , vol.6 , pp. 767-794
    • Luttrell, S.1
  • 4
    • 0000787409 scopus 로고    scopus 로고
    • Phase transitions in stochastic self-organizing maps
    • T. Graepel, M. Burger, and K. Obermayer, "Phase transitions in stochastic self-organizing maps," Phys. Rev. E, vol. 56, pp. 3876-3890, 1997.
    • (1997) Phys. Rev. E , vol.56 , pp. 3876-3890
    • Graepel, T.1    Burger, M.2    Obermayer, K.3
  • 5
    • 0344972928 scopus 로고    scopus 로고
    • Self-organizing maps: Generalizations and new optimization techniques
    • ____, "Self-organizing maps: Generalizations and new optimization techniques," Neurocomp., vol. 21, pp. 173-190, 1998.
    • (1998) Neurocomp. , vol.21 , pp. 173-190
    • Graepel, T.1    Burger, M.2    Obermayer, K.3
  • 6
    • 0002629270 scopus 로고
    • Maximum likelihood from incomplete data via the EM algorithm
    • A. Dempster, N. Lair, and D. Rubin, "Maximum likelihood from incomplete data via the EM algorithm," J. Royal Statistical Soc. B, vol. 39, pp. 1-38, 1977.
    • (1977) J. Royal Statistical Soc. B , vol.39 , pp. 1-38
    • Dempster, A.1    Lair, N.2    Rubin, D.3
  • 7
    • 0345404396 scopus 로고    scopus 로고
    • The self-organizing map
    • T. Kohonen, "The self-organizing map," Neurocomp., vol. 21, pp. 1-6, 1998.
    • (1998) Neurocomp. , vol.21 , pp. 1-6
    • Kohonen, T.1
  • 8
    • 0000736461 scopus 로고    scopus 로고
    • Convergence and ordering of Kohonen's batch map
    • Y. Cheng, "Convergence and ordering of Kohonen's batch map," Neur. Comp., vol. 9, pp. 1667-1676, 1997.
    • (1997) Neur. Comp. , vol.9 , pp. 1667-1676
    • Cheng, Y.1
  • 9
    • 0035506768 scopus 로고    scopus 로고
    • Self-organizing maps, vector quantization, and mixture modeling
    • Dec.
    • T. Heskes, "Self-organizing maps, vector quantization, and mixture modeling," IEEE Trans. Neural Networks, vol. 12, pp. 1299-1305, Dec. 2001.
    • (2001) IEEE Trans. Neural Networks , vol.12 , pp. 1299-1305
    • Heskes, T.1
  • 10
    • 0000389568 scopus 로고
    • Statistical mechanics of phase transitions in clustering
    • K. Rose, E. Gurewitz, and G. Fox, "Statistical mechanics of phase transitions in clustering," Phys. Rev. Lett., vol. 65, no. 8, pp. 945-948, 1990.
    • (1990) Phys. Rev. Lett. , vol.65 , Issue.8 , pp. 945-948
    • Rose, K.1    Gurewitz, E.2    Fox, G.3
  • 11
    • 84899025015 scopus 로고
    • Vector quantization by deterministic annealing
    • ____, "Vector quantization by deterministic annealing," IEEE Trans. Inform. Theory, vol. 38, no. 4, pp. 1249-1257, 1992.
    • (1992) IEEE Trans. Inform. Theory , vol.38 , Issue.4 , pp. 1249-1257
    • Rose, K.1    Gurewitz, E.2    Fox, G.3
  • 12
    • 0000430580 scopus 로고    scopus 로고
    • Deterministic annealing for density estimation by multivariate normal mixtures
    • M. Kloppenburg and P. Tavan, "Deterministic annealing for density estimation by multivariate normal mixtures," Phys. Rev. E, vol. 55, no. 3, pp. 2089-2092, 1997.
    • (1997) Phys. Rev. E , vol.55 , Issue.3 , pp. 2089-2092
    • Kloppenburg, M.1    Tavan, P.2
  • 14
    • 0040111788 scopus 로고    scopus 로고
    • S-map: A network with a simple self-organization algorithm for generative topographic mappings
    • M. Jordan, M. Kearns, and S. Solla, Eds. Cambridge, MA: MIT Press
    • K. Kiviluoto and E. Oja, "S-map: A network with a simple self-organization algorithm for generative topographic mappings," in Advances in Neural Information Processing Systems 10, M. Jordan, M. Kearns, and S. Solla, Eds. Cambridge, MA: MIT Press, 1998, pp. 549-555.
    • (1998) Advances in Neural Information Processing Systems 10 , pp. 549-555
    • Kiviluoto, K.1    Oja, E.2
  • 15
    • 0002059002 scopus 로고    scopus 로고
    • Energy functions for self-organizing maps
    • E. Oja and S. Kaski, Eds. Amsterdam, The Netherlands: Elsevier
    • T. Heskes, "Energy functions for self-organizing maps," in Kohonen Maps, E. Oja and S. Kaski, Eds. Amsterdam, The Netherlands: Elsevier, 1999, pp. 303-315.
    • (1999) Kohonen Maps , pp. 303-315
    • Heskes, T.1
  • 17
    • 0002788893 scopus 로고    scopus 로고
    • A new view of the EM algorithm that justifies incremental, sparse, and other variants
    • M. Jordan, Ed. Dordrecht, The Netherlands: Kluwer Academic
    • R. Neal and G. Hinton, "A new view of the EM algorithm that justifies incremental, sparse, and other variants," in Learning in Graphical Models, M. Jordan, Ed. Dordrecht, The Netherlands: Kluwer Academic, 1998, pp. 355-368.
    • (1998) Learning in Graphical Models , pp. 355-368
    • Neal, R.1    Hinton, G.2
  • 18
    • 0034131785 scopus 로고    scopus 로고
    • On-line EM algorithm for the normalized gaussian network
    • M. Sato and S. Ishii, "On-line EM algorithm for the normalized gaussian network," Neur. Comp., vol. 12, pp. 407-432, 2000.
    • (2000) Neur. Comp. , vol.12 , pp. 407-432
    • Sato, M.1    Ishii, S.2
  • 19
    • 0001931484 scopus 로고    scopus 로고
    • Data mining and knowledge discovery with emergent self-organizing feature maps for multivariate time series
    • E. Oja and S. Kaski, Eds. Amsterdam, The Netherlands: Elsevier
    • A. Ultsch, "Data mining and knowledge discovery with emergent self-organizing feature maps for multivariate time series," in Kohonen Maps, E. Oja and S. Kaski, Eds. Amsterdam, The Netherlands: Elsevier, 1999, pp. 33-46.
    • (1999) Kohonen Maps , pp. 33-46
    • Ultsch, A.1
  • 20
    • 0000479287 scopus 로고    scopus 로고
    • GTM: A principled alternative to the self-organizing map
    • M. Mozer, M. Jordan, and T. Petsche, Eds. Cambridge, MA: MIT Press
    • C. M. Bishop, M. Svensen, and C. K. I. Williams, "GTM: A principled alternative to the self-organizing map," in Advances in Neural Information Processing Systems 9, M. Mozer, M. Jordan, and T. Petsche, Eds. Cambridge, MA: MIT Press, 1997, pp. 354-360.
    • (1997) Advances in Neural Information Processing Systems 9 , pp. 354-360
    • Bishop, C.M.1    Svensen, M.2    Williams, C.K.I.3
  • 21
    • 0003408496 scopus 로고    scopus 로고
    • UCI repository of machine learning databases
    • Univ. California, Irvine
    • C. L. Blake and C. J. Merz, "UCI Repository of Machine Learning Databases," Univ. California, Irvine, 1998.
    • (1998)
    • Blake, C.L.1    Merz, C.J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.