Robust double clustering: a method based on alternating concentration steps

DOI10.1007/s00357-009-9026-zzbMath1276.62040OpenAlexW2069606705WikidataQ59397236 ScholiaQ59397236MaRDI QIDQ734384

Alessio Farcomeni

Publication date: 13 October 2009

Published in: Journal of Classification (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00357-009-9026-z

zbMATH Keywords

outliersrobustnessmicroarraysbiclusteringdouble clustering

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30)

Related Items (8)

Robust estimation for the Cox regression model based on trimming ⋮ Robust model-based clustering with mild and gross outliers ⋮ An impartial trimming algorithm for robust circle fitting ⋮ An impartial trimming approach for joint dimension and sample reduction ⋮ Comments on: ``Robust estimation of multivariate location and scatter in the presence of cellwise and casewise contamination ⋮ Italian contributions on some recent research topics in cluster analysis ⋮ The power of (extended) monitoring in robust clustering. Discussion of ``The power of monitoring: how to make the most of a contaminated multivariate sample ⋮ Snipping for robust \(k\)-means clustering under component-wise contamination

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