Corpus ID: 8820124

Hybrid Intelligent Systems ADAPTIVE GUSTAFSON-KESSEL FUZZY CLUSTERING ALGORITHM BASED ON SELF-LEARNING SPIKING NEURAL NETWORK

@inproceedings{Bodyanskiy2009HybridIS,
  title={Hybrid Intelligent Systems ADAPTIVE GUSTAFSON-KESSEL FUZZY CLUSTERING ALGORITHM BASED ON SELF-LEARNING SPIKING NEURAL NETWORK},
  author={Yevgeniy V. Bodyanskiy and A. Dolotov and I. Pliss},
  year={2009}
}
The Gustafson-Kessel fuzzy clustering algorithm is capable of detecting hyperellipsoidal clusters of different sizes and orientations by adjusting the covariance matrix of data, thus overcoming the drawbacks of conventional fuzzy c-means algorithm. In this paper, an adaptive version of the Gustafson-Kessel algorithm is proposed. The way to adjust the covariance matrix iteratively is introduced by applying the Sherman-Morrison matrix inversion procedure. The adaptive fuzzy clustering algorithm… Expand

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