NDLI: Document clustering around weighted-medoids

Content Provider	IEEE Xplore Digital Library
Author	Jian-Ping Mei Lihui Chen
Copyright Year	2011
Description	Author affiliation: Division of Information Engineering, School of Electrical and Electronic Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore 637789, Republic of Singapore (Jian-Ping Mei; Lihui Chen)
Abstract	In this paper, we propose a new similarity-based k-partitions clustering approach, called CAWP. Given the similarities of pairs of objects in the dataset, CAWP groups these objects into K non-overlaped clusters. Each cluster is represented by multiple objects with different weights, called prototype weight. The more representative an object is with respect to a cluster, the larger prototype weight is assigned to that object in the corresponding cluster. Compared with the traditional k-medoids approach, where each cluster is represented by a single medoid or representative object, the way of using prototype weights to allow multiple objects together to describe a cluster is more appropriate in our view. Experimental study using large document datasets show that CAWP is more favorable than other existing similarity-based clustering approaches as it achieves both good effectiveness and efficiency.
Starting Page	1
Ending Page	5
File Size	182085
Page Count	5
File Format	PDF
ISBN	9781457700293
e-ISBN	9781457700316
DOI	10.1109/ICICS.2011.6173606
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-12-13
Publisher Place	Singapore
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Prototypes Clustering algorithms Wireless application protocol Kernel Vectors Data mining Approximation algorithms
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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