Research In Motion
Today World Wide Web is growing wide as its name. It seems a bit difficult to manage all the information with search engine, as new modules have to be added into it. For that purpose, a technique name clustering comes in to everyone's mind. Clustering provided an organized way to manage the authors' search engine. It is no less than a coal which runs the engine. This paper addresses the applications of data mining tool weka by applying k means clustering to find the clusters from huge data sets and clustering that provide a building hand in the optimization of search engine.