Semi-supervised clustering using multiobjective optimization

Semi-supervised clustering uses the information of unsupervised and supervised learning to overcome the problems associated with them. Extracted information are given in the form of class labels and data distribution during clustering process. In this paper the problem of semi-supervised clustering ... View More