META-HEURISTIC ALGORITHMS FOR K-MEANS CLUSTERING: A REVIEW

Abstract

The increase in the data available attracted the concern of clustering approaches to integrate them coherently and to identify patterns for big data.Hence, Meta-Heuristic algorithmscan be better than standard optimization algorithms in some instances. Previously, optimization issues have been considered as significant weaknesses in the K-means algorithm is one of the simplest methods for clustering. and with less additional information it can easily solve the optimization problem.In this paper, a review of clustering k-means algorithm and meta-heuristics algorithms are reviewed.