메뉴 건너뛰기




Volumn 2837, Issue , 2003, Pages 265-276

Evaluation of topographic clustering and its kernelization

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; CONSTRAINT THEORY; INFORMATION ANALYSIS; SELF ORGANIZING MAPS; SET THEORY; SOCIETIES AND INSTITUTIONS; ARTIFICIAL INTELLIGENCE; CONFORMAL MAPPING; LEARNING SYSTEMS;

EID: 9444257009     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-540-39857-8_25     Document Type: Conference Paper
Times cited : (3)

References (19)
  • 1
    • 0019991550 scopus 로고
    • Analysis of a simple self-organizing process
    • Kohonen, T.: Analysis of a simple self-organizing process. Biol. Cybern. 44 (1982) 135-140
    • (1982) Biol. Cybern. , vol.44 , pp. 135-140
    • Kohonen, T.1
  • 4
    • 0002059002 scopus 로고    scopus 로고
    • Energy functions for self organizing maps
    • Oya, S., Kaski, E., eds. Elsevier, Amsterdam
    • Heskes, T.: Energy functions for self organizing maps. In Oya, S., Kaski, E., eds.: Kohonen Maps. Elsevier, Amsterdam (1999) 303-316
    • (1999) Kohonen Maps , pp. 303-316
    • Heskes, T.1
  • 6
    • 0000787409 scopus 로고    scopus 로고
    • Phase transitions in stochastic self-organizing maps
    • Graepel, T., Burger, M., Obermayer, K.: Phase transitions in stochastic self-organizing maps. Physical Review E 56 (1997) 3876-3890
    • (1997) Physical Review E , vol.56 , pp. 3876-3890
    • Graepel, T.1    Burger, M.2    Obermayer, K.3
  • 7
    • 0000439329 scopus 로고
    • A Bayesian analysis of self-organizing maps
    • Luttrell, S.: A Bayesian analysis of self-organizing maps. Neural Computation 6 (1994) 767-794
    • (1994) Neural Computation , vol.6 , pp. 767-794
    • Luttrell, S.1
  • 8
    • 0005023590 scopus 로고    scopus 로고
    • Hyperparameter selection for self organizing maps
    • Utsugi, A.: Hyperparameter selection for self organizing maps. Neural Computation 9 (1997) 623-635
    • (1997) Neural Computation , vol.9 , pp. 623-635
    • Utsugi, A.1
  • 9
    • 0035506768 scopus 로고    scopus 로고
    • Self-organizing maps, vector quantization, and mixture modeling
    • Heskes, T.: Self-organizing maps, vector quantization, and mixture modeling. IEEE TNN 12 (2001) 1299-1305
    • (2001) IEEE TNN , vol.12 , pp. 1299-1305
    • Heskes, T.1
  • 13
    • 0344469000 scopus 로고
    • A geometric organization measure for Kohonen's map
    • Zrehen, S., Blayo, F.: A geometric organization measure for Kohonen's map. In: Proc. of Neuro-Nîmes. (1992) 603-610
    • (1992) Proc. of Neuro-nîmes , pp. 603-610
    • Zrehen, S.1    Blayo, F.2
  • 14
    • 0029727599 scopus 로고    scopus 로고
    • Topology preservation in self organizing maps
    • IEEE Neural Networks Council
    • Kiviluoto, K.: Topology preservation in Self Organizing Maps. In: Proc. of Int. Conf. on Neural Networks. Volume 1., IEEE Neural Networks Council (1996) 294-299
    • (1996) Proc. of Int. Conf. on Neural Networks , vol.1 , pp. 294-299
    • Kiviluoto, K.1
  • 15
    • 84902156599 scopus 로고    scopus 로고
    • Comparing self-organizing maps
    • Kaski, S., Lagus, K.: Comparing self-organizing maps. In: Proc. of ICANN. (1996) 809-814
    • (1996) Proc. of ICANN , pp. 809-814
    • Kaski, S.1    Lagus, K.2
  • 17
    • 0026898892 scopus 로고
    • Quantifying the neighborhood preservation of self-organizing feature maps
    • Bauer, H., Pawelzik, K.: Quantifying the neighborhood preservation of self-organizing feature maps. IEEE TNN 3 (1992) 570-579
    • (1992) IEEE TNN , vol.3 , pp. 570-579
    • Bauer, H.1    Pawelzik, K.2
  • 18
    • 0013426686 scopus 로고    scopus 로고
    • On the use of self organizing maps for clustering and visualization
    • Flexer, A.: On the use of self organizing maps for clustering and visualization. Intelligent Data Analysis 5 (2001) 373-384
    • (2001) Intelligent Data Analysis , vol.5 , pp. 373-384
    • Flexer, A.1
  • 19
    • 84902126155 scopus 로고    scopus 로고
    • Mixtures of probabilistic PCAs and Fisher kernels for word and document modeling
    • Siolas, G., d'Alché Buc, F.: Mixtures of probabilistic PCAs and Fisher kernels for word and document modeling. In: Proc. of ICANN. (2002) 769-776
    • (2002) Proc. of ICANN , pp. 769-776
    • Siolas, G.1    D'Alché Buc, F.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.