Work

Document Clustering using K-Medoids

Year: 2015
Type: preprint
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.
Author: Jha, Monica
Institution: Gauhati University
Language: English
Open Access status: green
OpenAlex ID: W2234804277
Cites: 7
Cited by: 6
Related to: 20