Parameters Choosing of Attribute-Weighted Fuzzy C-means Algorithm
Jian Qiao Yu · Journal of Guangxi Normal University · 2010
Attribute-Weighted Fuzzy C-means Algorithm mentioned in this paper may have different influence on each attribute with the iteration of objective function at the same time.It can find out the latent cluster structure without reducing the algorithm's efficiency.Considering the fact that parameters influence the results,this paper proposes a theoretic analysis based on the objective function of this algorithm.After strict formula derivation,this paper provides a parameters choosing rule.The experiments proved that this rule offers a parameters' choosing guideline to the AWFCM proposed in this paper.