STAD is a graph-based method that approximates high-dimensional data structure by extending a minimum spanning tree through edge addition to maximize distance correlation.
Topological methods for the analysis of high dimensional data sets and 3d object recognition
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Improving the Projection of Global Structures in Data through Spanning Trees
STAD is a graph-based method that approximates high-dimensional data structure by extending a minimum spanning tree through edge addition to maximize distance correlation.