AI RESEARCH
The Mass Agreement Score: A Point-centric Measure of Cluster Size Consistency
arXiv CS.LG
•
ArXi:2603.23581v1 Announce Type: cross In clustering, strong dominance in the size of a particular cluster is often undesirable, motivating a measure of cluster size uniformity that can be used to filter such partitions. A basic requirement of such a measure is stability: partitions that differ only slightly in their point assignments should receive similar uniformity scores. A difficulty arises because cluster labels are not fixed objects; algorithms may produce different numbers of labels even when the underlying point distribution changes very little.