Fifth International Conference on Hybrid Intelligent Systems (HIS'05)
A Fuzzy c-means Algorithm Based on an Adaptive L2 Minkowsky Distance
Rio de Janeiro, Brazil
December 06-December 09
ISBN: 0-7695-2457-5
An extension of the fuzzy c-means clustering algorithm based on an adaptive distance is presented. The proposed method furnishes a fuzzy partition and a prototype for each cluster by optimizing a criterion based on an adaptive L2 Minkowsky distance that changes at each algorithm?s iteration. Experiments with real and synthetic data sets show the usefulness of this method.