Fuzzy Clustering Based on Generalized Entropy and Its Application to Image Segmentation
نویسندگان
چکیده
Fuzzy clustering based on generalized entropy is studied. By introducing the generalized entropy into objective function of fuzzy clustering, a unified model is given for fuzzy clustering in this paper. Then fuzzy clustering algorithm based on the generalized entropy is presented. At the same time, by introducing the spatial information of image into the generalized entropy fuzzy clustering algorithm, an image segmentation algorithm is presented. Finally, experiments are conducted to show effectiveness of both clustering algorithm based on generalized entropy and image segmentation algorithm.
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