An Analysis of Efficient Clustering Methods for Estimates Similarity Measures

The main objective of clustering to form a group of similar/dissimilar data object into cluster. Cluster analysis aim to group a collection of patterns in to cluster based on similarity. Cluster is the unsupervised learning technique which is used to looping a set of unordered data object in to a smaller number of meaning full cluster. The relation between cluster either intra or inter. Clustering is mostly analysis for field of text document. In this domain problem finds many applications in Market Analysis, web mining and indexing. In this analysis covers of clustering methods similarity measures based on distance. To discover related work this cluster technique find a new proposal for our further work in text documents, similarity meaning data mining.