On Central Tendency and Dispersion Measures for Intervals and Hypercubes

DOI10.1080/03610920701678984zbMath1196.62003arXiv0804.2247OpenAlexW2098995810MaRDI QIDQ3634550

Marie Chavent, Jérôme Saracco

Publication date: 25 June 2009

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/0804.2247

zbMATH Keywords

clusteringHausdorff distancemultidimensional interval data

Mathematics Subject Classification ID

Multivariate analysis (62H99)

Related Items (3)

Nonlinear multicriteria clustering based on multiple dissimilarity matrices ⋮ Fuzzy K-Minpen Clustering and K-nearest-minpen Classification Procedures Incorporating Generic Distance-Based Penalty Minimizers ⋮ On the construction of an aggregated measure of the development of interval data

Cites Work

• New clustering methods for interval data
• Dynamic clustering for interval data based on \(L_2\) distance
• Generalized Minkowski metrics for mixed feature-type data analysis
• Unnamed Item

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