A Brief Survey On Document Clustering Techniques Using MATLAB
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International Journal of Computer & Organization Trends (IJCOT) |  |
| © 2013 by IJCOT Journal | ||
| Volume-3 Issue-1 |
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| Year of Publication : 2013 | ||
| Authors : Rachitha Sony.Krotha, Suneetha Merugula, |
Citation
Rachitha Sony.Krotha, Suneetha Merugula, "A Brief Survey On Document Clustering Techniques Using MATLAB" . International Journal of Computer & organization Trends (IJCOT), V3(1):1-6 Jan - Feb 2013, ISSN:2249-2593, www.ijcotjournal.org. Published by Seventh Sense Research Group.
Abstract
Document clustering is a more specific technique for unsupervised document organization, it is generally considered to be a centralized process. Clustering methods can be used to automatically group the retrieved documents into a list of meaningful categories. This paper gives an overview of some of the mostly used document clustering techniques and introduces the matlab tool which provides us many functions that helps in the clustering of the documents. In particular we concentrate on the most commonly used clustering techniques Agglomerative hierarchical clustering and K-means that are commonly used for document clustering and related matlab functions available in the matlab toolbox.
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Keywords
clustering, hierarchial clustering, K-means , Matlab toolbox