Comparative analysis of similarity measures in document clustering

Rapid breakthrough in science and technology paved way for the accumulation of bulk of data. Extracting useful and meaningful data from this gargantuan amount of data is a tedious process. This has resulted in the development of efficient Data mining methods to discover interesting unknown knowledge from a large amount of data. Document mining or Text mining refers to data mining techniques to extract interesting and nontrivial information and knowledge from unstructured text. Document clustering is an effective Text mining method which classifies similar documents in to a group. Similarity measures play a key role in clustering documents. In this, a comparative study on the effect of various similarity measures in clustering documents in the same data set is done.