Integrated adaptive fuzzy clustering (IAFC) algorithm
作者： Y.S. Kim , S. Mitra
DOI: 10.1109/FUZZY.1993.327574
关键词:
摘要: An integrated adaptive fuzzy clustering (IAFC) algorithm using a structure similar to that found in the Adaptive Resonance Theory (ART-1) neural network, is presented. The IAFC incorporates new learning rule and similarity measure eliminate some structural problems inherent other ART-type networks. utilizes membership value, function of number iterations, within-cluster value. value Euclidean distance. This incorporation guarantees convergence weights provides more flexibility shapes clusters formed by this algorithm. critical parameters operation are discussed. performance evaluated classification real data compared with recent neuro-fuzzy algorithms. >
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