Kłopotek, Mieczysław On seeking consensus between document similarity measures. (English) Zbl 1381.68245 Fundam. Inform. 156, No. 1, 43-68 (2017). Summary: This paper investigates the application of consensus clustering and meta-clustering to the set of all possible partitions of a data set. We show that when using a “complement” of Rand Index as a measure of cluster similarity, the total-separation partition, putting each element in a separate set, is chosen. MSC: 68T05 Learning and adaptive systems in artificial intelligence 62H30 Classification and discrimination; cluster analysis (statistical aspects) Keywords:cluster analysis; partitioning; clustering; consensus functions; ensemble; knowledge reuse; unsupervised learning; meta-clustering PDFBibTeX XMLCite \textit{M. Kłopotek}, Fundam. Inform. 156, No. 1, 43--68 (2017; Zbl 1381.68245) Full Text: DOI arXiv