An art of grouping related objects

In today’s world, clustering has seen many applications due to its ability of binding related data together but there are many challenges while accomplishing the task which seems to be simple. Need for clustering arisen due to desire for useful data at one location out of huge amount data increasing day by day. Clustering has proved itself fruitful in many areas like search engines, e-governance and e-business etc. This paper intends to give overview of many clustering algorithms with their characteristics. It also attempts to spot out various clustering techniques and briefly reveals which technique is more suitable for particular requirement. Index Terms Clustering, data mining, dataset, mean, medoid.