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Educational Data Mining (EDM) is a learning science, and an emerging discipline, concerned with analyzing and studying data from academic databases. Through the exploration of these large datasets, using various data mining methods, one can identify unique patterns which will help study, predict and improve a student's academic performance. This paper elaborates a study on various Educational Data...
When trying to discover knowledge on a collection of data, one of the first arising tasks is to identify groups of similar objects, that is, to carry out cluster analysis for obtaining data partitions. Thus, a decision must be taken for choosing the clustering result that produces the best data partition for a given data collection. In order to support such a decision, indexes for measuring the quality...
In a fuzzy clustering an object typically receives strictly positive memberships to all clusters, even when the object clearly belongs to one particular cluster. Consequently, each cluster's estimated center and scatter matrix are influenced by many objects that have small positive memberships to it. This effect may keep the fuzzy method from finding the true clusters. We analyze the cause and...
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