메뉴 건너뛰기




Volumn 180, Issue 3, 2010, Pages 325-340

Iterative Bayesian fuzzy clustering toward flexible icon-based assistive software for the disabled

Author keywords

Agglomerative clustering; Assistive software for the disabled; Bayesian interpretation; Icon based software; Iterative fuzzy clustering

Indexed keywords

AGGLOMERATIVE CLUSTERING; ASSISTIVE SOFTWARE FOR THE DISABLED; BAYESIAN INTERPRETATION; ICON-BASED SOFTWARE; ITERATIVE FUZZY CLUSTERING;

EID: 70449108116     PISSN: 00200255     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ins.2009.09.015     Document Type: Article
Times cited : (6)

References (35)
  • 4
    • 0021776661 scopus 로고
    • Massively parallel architecture for a self-organizing neural pattern recognition machine
    • Carpenter G.A., and Grossberg S. Massively parallel architecture for a self-organizing neural pattern recognition machine. Computer Vision, Graphics, and Image Processing 37 (1987) 54-115
    • (1987) Computer Vision, Graphics, and Image Processing , vol.37 , pp. 54-115
    • Carpenter, G.A.1    Grossberg, S.2
  • 5
    • 0026408256 scopus 로고
    • Fuzzy ART: fast stable learning and categorization of analog patterns by an adaptive resonance system
    • Carpenter G.A., Grossberg S., and Rosen D.B. Fuzzy ART: fast stable learning and categorization of analog patterns by an adaptive resonance system. Neural Networks 4 (1991) 759-771
    • (1991) Neural Networks , vol.4 , pp. 759-771
    • Carpenter, G.A.1    Grossberg, S.2    Rosen, D.B.3
  • 6
    • 0028194778 scopus 로고
    • Fuzzy competitive learning
    • Chung F.L., and Lee T. Fuzzy competitive learning. Neural Networks 7 (1994) 539-551
    • (1994) Neural Networks , vol.7 , pp. 539-551
    • Chung, F.L.1    Lee, T.2
  • 8
    • 0020769645 scopus 로고
    • On the concept of fuzzy probabilistic controllers
    • Czogala E., and Pedrycz W. On the concept of fuzzy probabilistic controllers. Fuzzy Sets and Systems 10 (1983) 109-121
    • (1983) Fuzzy Sets and Systems , vol.10 , pp. 109-121
    • Czogala, E.1    Pedrycz, W.2
  • 13
    • 0043243216 scopus 로고
    • Discussion: on the very real distinction between fuzzy and statistical methods
    • Kandel A., Martins A., and Pacheco R. Discussion: on the very real distinction between fuzzy and statistical methods. Technometrics 37 (1995) 276-281
    • (1995) Technometrics , vol.37 , pp. 276-281
    • Kandel, A.1    Martins, A.2    Pacheco, R.3
  • 14
    • 0031274467 scopus 로고    scopus 로고
    • An integrated approach to fuzzy learning vector quantization and fuzzy c-means clustering
    • Karayiannis N.B., and Bezdek J.C. An integrated approach to fuzzy learning vector quantization and fuzzy c-means clustering. IEEE Transactions on Fuzzy Systems 5 (1997) 622-628
    • (1997) IEEE Transactions on Fuzzy Systems , vol.5 , pp. 622-628
    • Karayiannis, N.B.1    Bezdek, J.C.2
  • 16
    • 33644503275 scopus 로고    scopus 로고
    • Ph.D. Dissertation, Texas A& M University, Department of Electrical Engineering, College Station, Texas, August
    • W.E. Kelly, Dimensionality in Fuzzy Systems, Ph.D. Dissertation, Texas A& M University, Department of Electrical Engineering, College Station, Texas, August 1997.
    • (1997) Dimensionality in Fuzzy Systems
    • Kelly, W.E.1
  • 18
    • 0033281021 scopus 로고    scopus 로고
    • An unsupervised neural network using a fuzzy learning rule
    • Seoul, Korea
    • Y.S. Kim, An unsupervised neural network using a fuzzy learning rule, in: Proceedings of IEEE International Conference on Fuzzy Systems, Seoul, Korea, vol. 1, 1999, pp. 349-353.
    • (1999) Proceedings of IEEE International Conference on Fuzzy Systems , vol.1 , pp. 349-353
    • Kim, Y.S.1
  • 20
    • 0028481457 scopus 로고
    • An adaptive integrated fuzzy clustering model for pattern recognition
    • Kim Y.S., and Mitra S. An adaptive integrated fuzzy clustering model for pattern recognition. Fuzzy Sets and Systems 65 (1994) 297-310
    • (1994) Fuzzy Sets and Systems , vol.65 , pp. 297-310
    • Kim, Y.S.1    Mitra, S.2
  • 21
    • 10644261327 scopus 로고    scopus 로고
    • Evaluation of the performance of clustering algorithms in kernel-induced feature space
    • Kim D.-W., Lee K.Y., Lee D., and Lee K.H. Evaluation of the performance of clustering algorithms in kernel-induced feature space. Pattern Recognition 38 (2005) 607-611
    • (2005) Pattern Recognition , vol.38 , pp. 607-611
    • Kim, D.-W.1    Lee, K.Y.2    Lee, D.3    Lee, K.H.4
  • 24
    • 0031140630 scopus 로고    scopus 로고
    • A methodology for constructing fuzzy algorithms for learning vector quantization
    • Kraryiannis N.B. A methodology for constructing fuzzy algorithms for learning vector quantization. IEEE Transactions on Neural Networks 8 (1997) 505-518
    • (1997) IEEE Transactions on Neural Networks , vol.8 , pp. 505-518
    • Kraryiannis, N.B.1
  • 29
    • 40549105812 scopus 로고    scopus 로고
    • Iterative fuzzy clustering algorithm with supervision to construct probabilistic fuzzy rule base from numerical data
    • Lee H.-W., and Bien Z. Iterative fuzzy clustering algorithm with supervision to construct probabilistic fuzzy rule base from numerical data. IEEE Transactions on Fuzzy Systems 16 (2006) 263-277
    • (2006) IEEE Transactions on Fuzzy Systems , vol.16 , pp. 263-277
    • Lee, H.-W.1    Bien, Z.2
  • 30
    • 34548749719 scopus 로고    scopus 로고
    • The modified fuzzy art and a two-stage clustering approach to cell design
    • Ozdemir R.G., Gencyilmaz G., and Aktin T. The modified fuzzy art and a two-stage clustering approach to cell design. Information Sciences 177 (2007) 219-5236
    • (2007) Information Sciences , vol.177 , pp. 219-5236
    • Ozdemir, R.G.1    Gencyilmaz, G.2    Aktin, T.3
  • 32
    • 0027542561 scopus 로고
    • Fuzzy min-max neural networks - Part 2: clustering
    • Simpson P.K. Fuzzy min-max neural networks - Part 2: clustering. IEEE Transactions on Fuzzy Systems 1 (1993) 32-45
    • (1993) IEEE Transactions on Fuzzy Systems , vol.1 , pp. 32-45
    • Simpson, P.K.1
  • 34
    • 47849132766 scopus 로고    scopus 로고
    • Clustering algorithm for intuitionistic fuzzy sets
    • Xu Z., Chen J., and Wu J. Clustering algorithm for intuitionistic fuzzy sets. Information Sciences 178 (2008) 3775-3790
    • (2008) Information Sciences , vol.178 , pp. 3775-3790
    • Xu, Z.1    Chen, J.2    Wu, J.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.