Clustering accuracy
Pasi Fränti, Sami Sieranoja
Abstract
<abstract> <p>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).</p> </abstract>
Topics & Concepts
Cluster analysisMeasure (data warehouse)Matching (statistics)CentroidSet (abstract data type)Data miningComputer scienceClass (philosophy)MathematicsConsensus clusteringFuzzy clusteringArtificial intelligenceStatisticsCURE data clustering algorithmProgramming languageAdvanced Clustering Algorithms ResearchComplex Network Analysis TechniquesBayesian Methods and Mixture Models