NDLI: Data clustering using an advanced PSO variant

Content Provider	IEEE Xplore Digital Library
Author	Ghorpade-Aher, Jayshree Metre, Vishakha A.
Copyright Year	2014
Description	Author affiliation: Dept. of Computer Engineering, MIT College of Engineering, Kothrud 411038, University of Pune, India (Ghorpade-Aher, Jayshree; Metre, Vishakha A.)
Abstract	This paper proposes an advanced PSO variant using Subtractive Clustering methodology for data clustering. The implementation of this algorithm will be used to provide fast, efficient and appropriate solution for any complex clustering problem. This algorithm addresses the basic challenges faced with the existing PSO based clustering techniques i.e. preknowledge of initial cluster centers, dead unit problem, premature convergence to local optima, stagnation problem, etc. The proposed algorithm proved that the use of Subtractive Clustering methodology at the start of any PSO approach can improve the clustering process by suggesting good initial cluster centers and number of clusters in advance and then fasten the further clustering with the use of adaptive inertia weight factor and boundary restriction strategy. The performance of proposed algorithm is tested against well know clustering techniques over three datasets, where the results showed a better or comparable performance with respect to accuracy of clustering and convergence rate.
Starting Page	1
Ending Page	6
File Size	1682567
Page Count	6
File Format	PDF
e-ISBN	9781479953646
DOI	10.1109/INDICON.2014.7030613
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-12-11
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Iris subtractive clustering optimization Clustering algorithms Glass Educational institutions Entropy clustering particle swarm optimization swarm intelligence Convergence
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
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
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8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
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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