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Document Clustering using K-Medoids
April 06, 2015 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
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Authors
Monica Jha
arXiv ID
1504.01183
Category
cs.IR: Information Retrieval
Citations
6
Venue
arXiv.org
Last Checked
4 months ago
Abstract
People are always in search of matters for which they are prone to use internet, but again it has huge assemblage of data due to which it becomes difficult for the reader to get the most accurate data. To make it easier for people to gather accurate data, similar information has to be clustered at one place. There are many algorithms used for clustering of relevant information in one platform. In this paper, K-Medoids clustering algorithm has been employed for formation of clusters which is further used for document summarization.
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