Robust inference for parsimonious model-based clustering
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Publication:5107332
DOI10.1080/00949655.2018.1554659OpenAlexW2902525526WikidataQ128821737 ScholiaQ128821737MaRDI QIDQ5107332
Francesco Dotto, Alessio Farcomeni
Publication date: 27 April 2020
Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)
Full work available at URL: http://hdl.handle.net/11573/1219616
Related Items (6)
Robust fitting of mixtures of GLMs by weighted likelihood ⋮ Robust model-based clustering with mild and gross outliers ⋮ A robust approach to model-based classification based on trimming and constraints. Semi-supervised learning in presence of outliers and label noise ⋮ Unconstrained representation of orthogonal matrices with application to common principal components ⋮ Weighted likelihood mixture modeling and model-based clustering ⋮ mtclust
Uses Software
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