K-Mean Clustering and PSO: A Review

Clustering is a method which divides data objects into groups based on the information found in data that describes the objects and relationships among them. There are a variety of algorithms have been developed in recent years for solving problems of data clustering. Data clustering algorithms can be either hierarchical or partitioned. Most promising among them are K-means algorithm which is partitioned clustering algorithm .Moreover K-mean Algorithm is an efficient Clustering Algorithm but it can generate a local optimal solution.