Adaptive rough k-means clustering algorithm
Tao Zhou · Computer Engineering and Applications Journal · 2010
Rough clustering is one of valid clustering algorithms in indeterminate clustering.Through analyzing rough k-means algorithm,its shortcoming about the parameters adjustment about wl,wu and e is pointed out.Rough k-means clustering algorithm with adaptive parameters is presented.This algorithm can optimize clustering result of rough k-means,and decrease sensitivity about noise.Finally,this algorithm's validity is proved by experiments.