An Algorithm with Significant Feature for Fuzzy Clustering
Ying Zhang · Journal of Henan University · 2011
Fuzzy clustering analysis aims to integrate the object ingredients of similar features without demonstrating the evidence for clustering.This paper gives a notion of what is called significant feature in improving the method according to the contribution rate of the object features for clustering,and the main evidence of clustering can be figured out.Result of simulation proves that the evidence of clustering is valid and of practical use due to its reliability in computing method and the regularity in the process of computation.