On the asymptotics of trimmed best \(k\)-nets

DOI10.1006/jmva.2001.2033zbMath1098.62540OpenAlexW2002120720MaRDI QIDQ700155

Alfonso Gordaliza, Juan Antonio Cuesta-Albertos, Luis Angel García-Escudero

Publication date: 30 September 2002

Published in: Journal of Multivariate Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1006/jmva.2001.2033

zbMATH Keywords

consistencymode estimationclustering methods\(L_\infty\)-normhigh-density zonestrimmed best \(k\)-netsweak limit law

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Central limit and other weak theorems (60F05) Robustness and adaptive procedures (parametric inference) (62F35) Strong limit theorems (60F15)

Related Items (1)

A review of robust clustering methods

Uses Software

• clusfind

Cites Work

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