International Journal of Soft Computing And Artificial Intelligence (IJSCAI)
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  Journal Paper

Paper Title
Hierarchical and partitioning algorithm for Document clustring: a survey

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.


Author - Jitendra Agrawal, Shikha Agrawal, Saumya Agrawal, Sanjeev Sharma

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