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What is New Clustering Tendency Index about?

This document introduces a new index for clustering tendency based on the frequency distribution of edge lengths in a minimum spanning tree (MST) connecting objects. The proposed index shows advantages over existing methods, such as the Hopkins index, and can be used to detect clusters, measure data set non-uniformity, and identify outliers. The methodology involves comparing the MST distances of real data to those expected from a uniform distribution, providing a quantitative measure of clustering tendency

Author

aegr82

Language

EN