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Volumn 11, Issue 8, 1999, Pages 1915-1932

A reinforcement learning approach to online clustering

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; CLUSTER ANALYSIS; LEARNING; REINFORCEMENT;

EID: 0033570797     PISSN: 08997667     EISSN: None     Source Type: Journal    
DOI: 10.1162/089976699300016025     Document Type: Article
Times cited : (36)

References (15)
  • 3
    • 0002263953 scopus 로고
    • The IRISes of the Gaspe Peninsula
    • Anderson, E. (1935). The IRISes of the Gaspe Peninsula. Bull. Amer. IRIS Soc., 59, 381-406.
    • (1935) Bull. Amer. IRIS Soc. , vol.59 , pp. 381-406
    • Anderson, E.1
  • 5
    • 57849144858 scopus 로고
    • Optimization of clustering criteria by reformulation
    • Hathaway, R. J., & Bezdek, J. C. (1995). Optimization of clustering criteria by reformulation. IEEE Trans. on Fuzzy Systems, 3, 241-245.
    • (1995) IEEE Trans. on Fuzzy Systems , vol.3 , pp. 241-245
    • Hathaway, R.J.1    Bezdek, J.C.2
  • 8
    • 0039967552 scopus 로고
    • Enhancing stochasticity in reinforcement learning schemes: Application to the exploration of binary domains
    • Kontoravdis, D., Likas, A., & Stafylopatis, A. (1995). Enhancing stochasticity in reinforcement learning schemes: Application to the exploration of binary domains. Journal of Intelligent Systems, 5, 49-77.
    • (1995) Journal of Intelligent Systems , vol.5 , pp. 49-77
    • Kontoravdis, D.1    Likas, A.2    Stafylopatis, A.3
  • 9
    • 0027632248 scopus 로고
    • "Neural-gas" network for vector quantization and its application to time-series prediction
    • Martinez, T., Berkovich, S., & Schulten, G. (1993). "Neural-gas" network for vector quantization and its application to time-series prediction. IEEE Trans. on Neural Networks, 4, 558-569.
    • (1993) IEEE Trans. on Neural Networks , vol.4 , pp. 558-569
    • Martinez, T.1    Berkovich, S.2    Schulten, G.3
  • 11
    • 0000389568 scopus 로고
    • Statistical mechanics and phase transitions in clustering
    • Rose, K., Gurewitz, F., & Fox, G. (1990). Statistical mechanics and phase transitions in clustering. Physical Rev. Lett., 65, 945-948.
    • (1990) Physical Rev. Lett. , vol.65 , pp. 945-948
    • Rose, K.1    Gurewitz, F.2    Fox, G.3
  • 12
    • 0003890455 scopus 로고
    • Toward a theory of reinforcement learning vonnectionist dystems
    • Boston, MA: Northeastern University
    • Williams, R. J. (1988). Toward a theory of reinforcement learning vonnectionist dystems (Tech. Rep. NU-CCS-88-3). Boston, MA: Northeastern University.
    • (1988) Tech. Rep. NU-CCS-88-3
    • Williams, R.J.1
  • 13
    • 0000337576 scopus 로고
    • Simple statistical gradient-following algorithms for connectionist reinforcement learning
    • Williams, R. J. (1992). Simple statistical gradient-following algorithms for connectionist reinforcement learning. Machine Learning, 8, 229-256.
    • (1992) Machine Learning , vol.8 , pp. 229-256
    • Williams, R.J.1
  • 14
    • 0041154467 scopus 로고
    • Function optimization using connectionnist reinforcement learning networks
    • Williams, R. J., & Peng, J. (1991). Function optimization using connectionnist reinforcement learning networks. Connection Science, 3, 241-268.
    • (1991) Connection Science , vol.3 , pp. 241-268
    • Williams, R.J.1    Peng, J.2
  • 15
    • 0027629412 scopus 로고
    • Rival penalized competitive learning for clustering analysis, RBF net, and curve detection
    • Xu, L., Krzyzak, A., & Oja, E. (1993). Rival penalized competitive learning for clustering analysis, RBF net, and curve detection. IEEE Trans. on Neural Networks, 4, 636-649.
    • (1993) IEEE Trans. on Neural Networks , vol.4 , pp. 636-649
    • Xu, L.1    Krzyzak, A.2    Oja, E.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.