Abstract
A new generalized clustering algorithm with the name of genetic algorithm based rough-fuzzy possibilistic c-means (GARFPCM) is proposed. It derives from an unsupervised learning algorithm called RFPCM, which is unstable for the reason of random initialization. GA is introduced into RFPCM to generate an improved version, which is GARFPCM mentioned above. GARFPCM can obtain better clustering quality. Through performance evaluation on image segmentation, GARFPCM is shown to perform excellently. © 2012 Springer-Verlag.
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Ma, W., Ge, X., & Jiao, L. (2012). An improved generalized fuzzy c-means clustering algorithm based on GA. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7202 LNCS, pp. 599–606). https://doi.org/10.1007/978-3-642-31919-8_76
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