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Cluster analysis of top 200 universities in Mathematics


Gopal, Kathiresan and Shitan, Mahendran (2015) Cluster analysis of top 200 universities in Mathematics. In: 2015 International Symposium on Mathematical Sciences and Computing Research (iSMSC2015), 19-20 May 2015, Ipoh, Perak. (pp. 408-413).


University rankings are becoming a vital performance assessment for higher learning institutions worldwide. Besides the overall rankings, the universities are also ranked by subjects serving as comprehensive guide to discover the specialist strengths of universities worldwide by highlighting top 200 universities for a range of 30 individual popular subjects. Data for this ranking purpose consist four variables namely the academic reputation, employer reputation, citation per paper and H-index citations. In this ranking, universities are ranked according to their overall score calculated from linear combination of the aforementioned variables and their respective weightings. As the existing ranking technique based on overall score appears to be simple and since the rankings data are of multivariate nature, therefore it is possible to use multivariate statistical technique like cluster analysis. Agglomerative hierarchical cluster analysis of top 200 QS ranked universities by Mathematics subject area 2014 has been performed to obtain natural clustering of the universities in an objective manner. The agreement between cluster analysis and existing QS rankings is verified and it is suggested that the distance between universities can be used as an alternative measure to rank universities. Cluster analysis applied on the same variables would serve as an alternative way to rank universities and to look at the rankings in a different perspective.

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Additional Metadata

Item Type: Conference or Workshop Item (Paper)
Divisions: Institute for Mathematical Research
DOI Number: https://doi.org/10.1109/ISMSC.2015.7594089
Publisher: IEEE
Keywords: Hierarchical cluster analysis; QS World University Rankings; Rankings by Mathematics subject
Depositing User: Nabilah Mustapa
Date Deposited: 31 Jul 2017 04:19
Last Modified: 31 Jul 2017 04:19
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1109/ISMSC.2015.7594089
URI: http://psasir.upm.edu.my/id/eprint/56278
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