Visual Assessment Tendency(VAT) is a method used for visually assessing the number of clusters in a given dataset. Conventional VAT fails to give correct output on many cases of preference data. In this project, we aim to modify VAT to deal directly with preference data. We use Chu–Liu/Edmond’s Algorithm for reordering preference matrices, which is an essential step for getting VAT.
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