Means and variances for a family of similarity indices used in cluster analysis

DOI10.1016/j.jspi.2010.03.005zbMath1191.62111OpenAlexW2065731216MaRDI QIDQ984637

Ahmed N. Albatineh

Publication date: 20 July 2010

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jspi.2010.03.005

zbMATH Keywords

cluster analysisclustering algorithmsimilarity indexrand indexmatching counts

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Monte Carlo methods (65C05)

Related Items

On association measures for continuous variables and correction for chance ⋮ MCS: A method for finding the number of clusters ⋮ \(k\)-means, Ward and probabilistic distance-based clustering methods with contiguity constraint ⋮ Correcting Jaccard and other similarity indices for chance agreement in cluster analysis ⋮ ON THE EQUIVALENCE OF SOME INDICES OF SIMILARITY: IMPLICATION FOR BINARY PRESENCE/ABSENCE DATA

Uses Software

• R

Cites Work

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• On association coefficients for \(2\times 2\) tables and properties that do not depend on the marginal distributions
• Comparison of Chernoff-type face and non-graphical methods for clustering multivariate observations
• Distributional properties of jaccard’s index of similarity
• A Method for Comparing Two Hierarchical Clusterings
• Measures of Association for Cross Classifications