Research Article
Application of a Modified k-Means Algorithm to Evaluatesignificance of Bibliometric Indices of Journals
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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| Volume 151 - Issue 2 |
| Published: Oct 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 },
year = { 2016 },
volume = { 151 },
number = { 2 },
pages = { 14-19 },
doi = { 10.5120/ijca2016911680 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2016
%A B. Annapurna
%A M. M. Naidu
%T Application of a Modified k-Means Algorithm to Evaluatesignificance of Bibliometric Indices of Journals%T
%J International Journal of Computer Applications
%V 151
%N 2
%P 14-19
%R 10.5120/ijca2016911680
%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.
References
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