DOIONLINE

DOIONLINE NO - IJSCAI-IRAJ-DOIONLNE-3363

Publish In
International Journal of Soft Computing And Artificial Intelligence (IJSCAI)-IJSCAI
Journal Home
Volume Issue
Issue
Volume-3,Issue-2  ( Nov, 2015 )
Paper Title
Hierarchical and partitioning algorithm for Document clustring: a survey
Author Name
Jitendra Agrawal, Shikha Agrawal, Saumya Agrawal, Sanjeev Sharma
Affilition
Rajiv Gandhi Proudyogiki Vishwavidyalaya Bhopal (MP) India
Pages
15-18
Abstract
Document clustering is the widely researched area because of large amount of rich and dynamic information are available in world wide web. It is the application of cluster analysis to texual documents. There are different applications of document clustering include automatic document organization, data mining , topic extraction and filtering or fast information retrieval. The purpose of this survey is to provide a review of different partitioning and hierarchical techniques used in documentclustering. Keywords- Document clustering, Hierarchical clustering, Partitioning clustering, k-means.
  View Paper