%0 Journal Article
%T Persistent K-Means: Stable Data Clustering Algorithm Based on K-Means Algorithm
%J Journal of Computer & Robotics
%I Qazvin Islamic Azad University
%Z 2345-6582
%A Azimi, Rasool
%A Sajedi, Hedieh
%D 2014
%\ 02/01/2014
%V 7
%N 1
%P 57-66
%! Persistent K-Means: Stable Data Clustering Algorithm Based on K-Means Algorithm
%K Data mining
%K Clustering
%K K-means
%K Persistent K-Means
%R
%X Identifying clusters or clustering is an important aspect of data analysis. It is the task of grouping a set of objects in such a way those objects in the same group/cluster are more similar in some sense or another. It is a main task of exploratory data mining, and a common technique for statistical data analysis This paper proposed an improved version of K-Means algorithm, namely Persistent K-Means, which alters the convergence method of K-Means algorithm to provide more accurate clustering results than the K-means algorithm and its variants by increasing the clustersâ€™ coherence. Persistent K-Means uses an iterative approach to discover the best result for consecutive iterations of K-Means algorithm.
%U http://www.qjcr.ir/article_653_ea445cbd2ae85b13da50d22ab6244027.pdf