On the Use of Relative Validity Indices for Comparing Clustering Approaches

arXiv:2404.10351v1 Announce Type: cross
Abstract: Relative Validity Indices (RVIs) such as the Silhouette Width Criterion, Calinski-Harabasz and Davie's Bouldin indices are the most popular tools for evaluating and optimising applications of clustering. Their ability to rank collections of candidate partitions has been used to guide the selection of the number of clusters, and to compare partitions from different clustering algorithms. Beyond these more conventional tasks, many examples can be found in the literature where RVIs have been used to compare …

abstract applications arxiv clustering criterion cs.lg guide popular stat.ml tools type