A New Semi Supervised FCM Algorithm Based on Mahalanobis Distance
Xiyang Yang, Zhiwei Li · 2012
A novel Semi-supervised fuzzy clustering model based on mahalanobis distance is proposed in this paper, we show that the iterative formulas to solve this model is simple and comprehensible, and the standard FCM may be viewed as a special case of our formulation. An experiment on artificial data set verifies the effectiveness of this new algorithm.