Open Access Open Access  Restricted Access Subscription Access
Open Access Open Access Open Access  Restricted Access Restricted Access Subscription Access

Algorithms for Clustering of Documents


Affiliations
1 Rajiv Gandhi Technical University, Airport Bypass Road, Bhopal, India
2 Computer Science and Engineering Department, Rajiv Gandhi Technical University, Airport Bypass Road, Bhopal, India
     

   Subscribe/Renew Journal


There is great need to organize a large set of documents into categories. The Document Clustering techniques are widely recognized as useful tools for information retrieval, organizing web document and also allow users to search in appropriate direction. A large variety of techniques have been developed by researchers for clustering. The purpose of this paper is to present a novel survey of the various clustering techniques. These techniques can also be used to group web and other documents into meaningful clusters. Categorization of different clustering algorithms is also proposed in this paper.

Keywords

Clustering, Document Clustering, K-Means, K-Medoids, Web Document.
User
Subscription Login to verify subscription
Notifications
Font Size

Abstract Views: 257

PDF Views: 2




  • Algorithms for Clustering of Documents

Abstract Views: 257  |  PDF Views: 2

Authors

Neeti Arora
Rajiv Gandhi Technical University, Airport Bypass Road, Bhopal, India
Mahesh Motwani
Computer Science and Engineering Department, Rajiv Gandhi Technical University, Airport Bypass Road, Bhopal, India

Abstract


There is great need to organize a large set of documents into categories. The Document Clustering techniques are widely recognized as useful tools for information retrieval, organizing web document and also allow users to search in appropriate direction. A large variety of techniques have been developed by researchers for clustering. The purpose of this paper is to present a novel survey of the various clustering techniques. These techniques can also be used to group web and other documents into meaningful clusters. Categorization of different clustering algorithms is also proposed in this paper.

Keywords


Clustering, Document Clustering, K-Means, K-Medoids, Web Document.