메뉴 건너뛰기




Volumn 12, Issue 10, 2000, Pages 2331-2353

Clustering irregular shapes using high-order neurons

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; BIOLOGICAL MODEL; CELL SIZE; CYTOLOGY; NERVE CELL; PHYSIOLOGY; SYNAPSE;

EID: 0034297913     PISSN: 08997667     EISSN: None     Source Type: Journal    
DOI: 10.1162/089976600300014962     Document Type: Article
Times cited : (18)

References (25)
  • 1
    • 0031209094 scopus 로고    scopus 로고
    • A fuzzy classifier with ellipsoidal regions
    • Abe, S., & Thawonmas, R. (1997). A fuzzy classifier with ellipsoidal regions. IEEE Trans, on Fuzzy Systems, 5, 358-368.
    • (1997) IEEE Trans, on Fuzzy Systems , vol.5 , pp. 358-368
    • Abe, S.1    Thawonmas, R.2
  • 5
    • 0000521616 scopus 로고    scopus 로고
    • Superparamagnetic clustering of data
    • Blatt, M., Wiseman, S., & Domany, E. (1996). Superparamagnetic clustering of data. Physical Review Letters, 76/18, 3251-3254.
    • (1996) Physical Review Letters , vol.76 , Issue.18 , pp. 3251-3254
    • Blatt, M.1    Wiseman, S.2    Domany, E.3
  • 6
    • 84958481530 scopus 로고
    • Use of the adaptive fuzzy clustering algorithm to detect lines in digital images
    • Dave, R. N. (1989). Use of the adaptive fuzzy clustering algorithm to detect lines in digital images. In Proc. SPIE, Conf. Intell. Robots and Computer Vision, 1192, 600-611.
    • (1989) Proc. SPIE, Conf. Intell. Robots and Computer Vision , vol.1192 , pp. 600-611
    • Dave, R.N.1
  • 9
    • 0030142297 scopus 로고    scopus 로고
    • A comparison of fuzzy shell-clustering methods for the detection of ellipses
    • Frigui, H. & Krishnapuram, R. (1996). A comparison of fuzzy shell-clustering methods for the detection of ellipses. IEEE Transactions on Fuzzy Systems, 4, 193-199.
    • (1996) IEEE Transactions on Fuzzy Systems , vol.4 , pp. 193-199
    • Frigui, H.1    Krishnapuram, R.2
  • 10
    • 0000431117 scopus 로고
    • Encoding geometric invariances in higher-order neural networks
    • D. Z. Anderson (Ed.), Neural information processing systems
    • Giles, C. L., Griffin, R. D., & Maxwell, T. (1988). Encoding geometric invariances in higher-order neural networks. In D. Z. Anderson (Ed.), Neural information processing systems. American Institute of Physics Conference Proceedings.
    • (1988) American Institute of Physics Conference Proceedings
    • Giles, C.L.1    Griffin, R.D.2    Maxwell, T.3
  • 14
    • 0018057468 scopus 로고
    • Fuzzy clustering with fuzzy covariance matrix
    • San Diego, CA
    • Gustafson, E. E., & Kessel, W. C. (1979). Fuzzy clustering with fuzzy covariance matrix. In Proc. IEEE CDC (pp. 761-766). San Diego, CA.
    • (1979) Proc. IEEE CDC , pp. 761-766
    • Gustafson, E.E.1    Kessel, W.C.2
  • 16
    • 0027643095 scopus 로고
    • Using fuzzy clustering with ellipsoidal units in neural networks for robust fault classification
    • Kavuri, S. N, & Venkatasubramanian, V. (1993). Using fuzzy clustering with ellipsoidal units in neural networks for robust fault classification. Computers Chem. Eng., 17, 765-784.
    • (1993) Computers Chem. Eng. , vol.17 , pp. 765-784
    • Kavuri, S.N.1    Venkatasubramanian, V.2
  • 18
    • 0001698980 scopus 로고
    • Back propagation is sensitive to initial conditions
    • Kolen, J. F., & Pollack, J. B. (1990). Back propagation is sensitive to initial conditions. Complex Systems, 4, 269-280.
    • (1990) Complex Systems , vol.4 , pp. 269-280
    • Kolen, J.F.1    Pollack, J.B.2
  • 19
    • 0029245943 scopus 로고
    • Fuzzy and possibilistic shell clustering algorithms and their application to boundary detection and surface approximation - Parts I and II
    • Krishnapuram, R., Frigui, H., & Nasraoui, O. (1995). Fuzzy and possibilistic shell clustering algorithms and their application to boundary detection and surface approximation - Parts I and II. IEEE Transactions on Fuzzy Systems, 3, 29-60.
    • (1995) IEEE Transactions on Fuzzy Systems , vol.3 , pp. 29-60
    • Krishnapuram, R.1    Frigui, H.2    Nasraoui, O.3
  • 21
    • 0029752880 scopus 로고    scopus 로고
    • A self-organizing network for hyperellipsoidal clustering (HEC)
    • Mao, J., & Jain, A. (1996). A self-organizing network for hyperellipsoidal clustering (HEC). IEEE Transactions on Neural Networks, 7, 16-29.
    • (1996) IEEE Transactions on Neural Networks , vol.7 , pp. 16-29
    • Mao, J.1    Jain, A.2
  • 23
    • 0027634778 scopus 로고
    • Generalized clustering networks and Kohonen's self-organizing scheme
    • Pal, N., Bezdek, J. C., & Tsao, E. C.-K. (1993). Generalized clustering networks and Kohonen's self-organizing scheme. IEEE Transactions on Neural Networks, 4, 549-557.
    • (1993) IEEE Transactions on Neural Networks , vol.4 , pp. 549-557
    • Pal, N.1    Bezdek, J.C.2    Tsao, E.C.-K.3
  • 24
    • 0001460434 scopus 로고
    • The induction of dynamical recognizers
    • Pollack J. B. (1991). The induction of dynamical recognizers. Machine Learning, 7, 227-252.
    • (1991) Machine Learning , vol.7 , pp. 227-252
    • Pollack, J.B.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.