The Analysis of Rating Data of the Latvian Higher Education Institutions Using Clustering

Peter Grabusts


Rating data of the Latvian public higher education institutions for the year 2012 has been used as the input data, and the aim of the experiment has been to show how by applying clustering methods the mentioned data can be analyzed in an alternative way. During the research an attempt has been made to group higher education institutions with the help of k-means clustering algorithm and to verify whether such division corresponds to the rate of a certain higher education institution in the rating data calculated mathematically. The validity of clustering has been evaluated with the help of Rand index.


Clustering algorithms; cluster validity; k-means; Rand index; rating data

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