AN INVESTIGATION OF VARIOUS TECHNIQUES TO PERFORM EFFICIENT DOCUMENT CLUSTERING

Clustering means that the same things are kept together. Text clustering is a clustering application, which refers to the mixture of linked text documents. Document clustering plays a vital role in the development of search engines, where the document type is supposed to be identified in the minimum response time as a result of the query. Document clustering is crucial in terms of the overall purpose of membership monitoring, tracking, gathering subjects, and data retrieval in a professional manner. In the first instance, the designation refers to the updating of data recovery procedures. Recently, clustering techniques have been related in the regions, which involve browsing the gathered knowledge or ordering the findings of the web indices to address the query posed by the clients. This paper elaborates on the idea of document cum text clustering. This paper would include a survey of recent work in the area of text clustering. This paper would also include a critical analysis of current text clustering techniques. This paper also presents updated clustering methodology. The accuracy of proposed method is better.