NDLI: Clustering based on Cuckoo Optimization Algorithm

Content Provider	IEEE Xplore Digital Library
Author	Ameryan, M. Totonchi, M.R.A. Mahdavi, S.J.S.
Copyright Year	2014
Description	Author affiliation: Dept. of Hardware Eng., Islamic Azad Univ., Mashhad, Iran (Ameryan, M.; Mahdavi, S.J.S.) \|\| Dept. of Electr. Eng., Ferdowsi Univ., Mashhad, Iran (Totonchi, M.R.A.)
Abstract	This paper presents four novel clustering methods based on a recent powerful evolutionary algorithm called Cuckoo Optimization Algorithm (COA) inspired by nesting behavior and immigration of cuckoo birds. To take advantage of COA in clustering, here, an individual cuckoo represents a candidate solution consisting of clusters' centroids. Fitness function calculates sum of intra cluster distances. Three proposed approaches named Random COA Clustering, Chaotic COA Clustering and K-means COA Clustering differ in initial step of original COA algorithm. In COA Clustering, initial population is produced randomly. In Chaotic COA Clustering, to cover whole search space and enrich algorithm, chaotic Arnold's Cat map is used to produce initial population instead of randomness. In K-means COA Clustering, to start from closer to global optimum, well-known K-means algorithm is conducted to produce initial cuckoos. In order to local search in COA, each cuckoo lays its own eggs within a specific radius. The aim of producing better neighbors and escape local optimum in proposed Enhanced COA Clustering (ECOAC), this boundary doesn't exist and each cuckoo puts its eggs via Lévy flight. The results of conducting these novel methods on four VCI datasets illustrate their comparable stability and power of them.
Sponsorship	IEEE Iran Sect.
Starting Page	1
Ending Page	6
File Size	1030830
Page Count	6
File Format	PDF
e-ISBN	9781479933518
DOI	10.1109/IranianCIS.2014.6802605
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-02-04
Publisher Place	Iran
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	K-means Clustering methods Sociology Clustering algorithms Chaotic Arnold's Cat Map Birds Cuckoo Optimization Algorithm (COA) Statistics Optimization Standards Lévy flight
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
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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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