AI RESEARCH
Associativity-Peakiness Metric for Contingency Tables
arXiv CS.LG
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ArXi:2604.22655v1 Announce Type: new For the use case of comparing the performance of clustering algorithms whose output is a contingency table, a single performance metric for contingency tables is needed. Such a metric is vital for comparative performance analysis of clustering algorithms. A survey of publicly available literature did not show the presence of such a metric. Metrics do exist for vector pairs of truth values and predicted values, which are an alternative form of output of clustering algorithms.