Minimum adjusted Rand index for two clusterings of a given size

Autor:	José E. Chacón, Ana I. Rastrojo
Jazyk:	angličtina
Rok vydání:	2020
Předmět:	Statistics and Probability Computer Science - Machine Learning Statistics - Machine Learning Applied Mathematics Computer Science Applications
Popis:	The adjusted Rand index (ARI) is commonly used in cluster analysis to measure the degree of agreement between two data partitions. Since its introduction, exploring the situations of extreme agreement and disagreement under different circumstances has been a subject of interest, in order to achieve a better understanding of this index. Here, an explicit formula for the lowest possible value of the ARI for two clusterings of given sizes is shown, and moreover a specific pair of clusterings achieving such a bound is provided. Comment: 9 pages
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8dfeb8bcb80b92a33487334ecf29aea9 http://arxiv.org/abs/2002.03677 Zobrazit plný text záznamu