Journal of the Korean Institute of Intelligent Systems (한국지능시스템학회논문지)

Korean Institute of Intelligent Systems (한국지능시스템학회)
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A Fuzzy C Elliptic Shells Clustering

  • 김대진 (동아대학교 전기전자컴퓨터공학부)
  • Published : 1998.08.01
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Abstract

This paper presents a fuzzy c elliptic shells algorithm that detects culusters than can be expressed by hyperellipsoidal shells. The algorithm is computationally efficient since the prototyes of shell clusters are determined by a simple matrix inversion instead of by solving several nonlinear equations. The algorithm also works when the detected shells are partial the optimal number of clusters is unkonown initially. A set of simulation results validates the proposed clustering mehtod.

Keywords

References

  1. Int. J. of general Systems v.16 Fuzzy-shell clustering and application to circle detection in digital images R.N.Dave
  2. Proc. SPIE Conf. Intelligent Robots and Computer Vision X: Algorithms and Techniques New fuzzy shell clustering algorithms for boundary detection and pattern recognition R.Krishnapuram;H.Frigui;O.Nasraoui
  3. Fuzzy set theory and its applications H.J.Zimmermann
  4. IEEE Transactions on Neural Networks v.3 no.5 Adaptive fuzzy cshells clustering and detection of ellipses R.N.Dave;K.Bhaswan
  5. IEEE Trans. Pattern Anal. Mach. Intell. v.11 Unsupervised optimal fuzzy clustering I.Gath;A.Geva