Centronit: Initial Centroid Designation Algorithm for K-Means Clustering
Clustering performance of the K-means highly depends on the correctness of initial centroids.Usually initial centroids for the K- means clustering are determined randomly so that the determined initial centers may cause to reach the nearest local minima, not the global optimum.In this paper, we propose an algorithm, called as Centronit, for designa