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Application of a Modified k-Means Algorithm to Evaluatesignificance of Bibliometric Indices of Journals

by B. Annapurna, M. M. Naidu
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 151 - Number 2
Year of Publication: 2016
Authors: B. Annapurna, M. M. Naidu
10.5120/ijca2016911680

B. Annapurna, M. M. Naidu . Application of a Modified k-Means Algorithm to Evaluatesignificance of Bibliometric Indices of Journals. International Journal of Computer Applications. 151, 2 ( Oct 2016), 14-19. DOI=10.5120/ijca2016911680

@article{ 10.5120/ijca2016911680,
author = { B. Annapurna, M. M. Naidu },
title = { Application of a Modified k-Means Algorithm to Evaluatesignificance of Bibliometric Indices of Journals },
journal = { International Journal of Computer Applications },
issue_date = { Oct 2016 },
volume = { 151 },
number = { 2 },
month = { Oct },
year = { 2016 },
issn = { 0975-8887 },
pages = { 14-19 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume151/number2/26205-2016911680/ },
doi = { 10.5120/ijca2016911680 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:56:01.988115+05:30
%A B. Annapurna
%A M. M. Naidu
%T Application of a Modified k-Means Algorithm to Evaluatesignificance of Bibliometric Indices of Journals
%J International Journal of Computer Applications
%@ 0975-8887
%V 151
%N 2
%P 14-19
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The indices such as h-index, e-index etc has received much attention from the scientific community owing to their prowess to impact journal quality. Many different indicatorshave been developed to overcome drawbacks of h-index. Nearly four indices which are of prime importance in the publishing industry were utilized.In this paper, we present a modified k-means algorithm to generate three clusters of datasets of scientific journals.

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Index Terms

Computer Science
Information Sciences

Keywords

h-index m-index A-index e-index k-means algorithm