Evolving Gustafson-kessel Possibilistic c-Means Clustering

Procedia Computer Science, pp. 191-198, 2015.

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Abstract:

This paper presents an idea of evolving Gustafson-Kessel possibilistic c-means clustering (eGKPCM). This approach is extension of well known possiblilistic c-means clustering (PCM) which was proposed to address the drawbacks associated with the constrained membership functions used in fuzzy c-means algorithms (FCM). The idea of possiblist...More

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