Clustering accuracy
Pasi Fränti, Sami Sieranoja · Applied Computing and Intelligence · 2024
Clustering accuracy (ACC) is one of the most often used measures in literature to evaluate clustering quality. However, the measure is often used without any definition or reference to such a definition. In this paper, we identify the origin of the measure. We give a proper definition for the measure and provide a simple bug fix which allows it to be used also in the case of a mismatch in the number of clusters. We show that the measure belongs to a wider class of set-matching based measures. We compare its properties to centroid index (CI) and normalized mutual information (NMI).