A Prediction for the Cluster Centers in Unlabeled Data

Abstract

This article proposes an algorithm to predict the cluster centers and their locations in unlabeled data in which we do not know how many clusters in advance. The proposed method is a recursive algorithm and has good performance to deal with the clustering problem in data with or without noise.