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 |
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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
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.