Iterative weighted cluster ensemble model based on rough set theory
Wenyuan Wang · Journal of Tsinghua University(Science and Technology) · 2009
An iterative weighted cluster ensemble(IWCE) model was developed taking into account the qualities of the cluster members and the noise in the cluster ensemble.The model evaluates the significance of each cluster member using information measuring the attribute significance in the rough set and iteratively updates the weight values.Experiments on several synthetic and real data sets show that the model can handle different-quality cluster members and effectively lessens the effect of noise.Therefore,the model provides better ensemble results than general cluster ensemble methods.