The visual assessment of tendency (VAT) technique, developed by J.C. Bezdek, R.J. Hathaway and J.M. Huband, uses a visual approach to find the number of clusters in data. In this paper, we develop a new algorithm that processes the numeric output of VAT ...
The problem of determining whether clusters are present in a data set (i.e., assessment of cluster tendency) is an important first step in cluster analysis. The visual assessment of cluster tendency (VAT) tool has been successful in determining ...
The VAT algorithm is a visual method for determining the possible number of clusters in, or the cluster tendency of a set of objects. The improved VAT (iVAT) algorithm uses a graph-theoretic distance transform to improve the effectiveness of the VAT ...
World Scientific and Engineering Academy and Society (WSEAS)
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