Quantization/clustering: when and why does k-means work?

zbMath1397.62222arXiv1801.03742MaRDI QIDQ4581180

Clément Levrard

Publication date: 23 August 2018

Full work available at URL: https://arxiv.org/abs/1801.03742

zbMATH Keywords

clusteringquantizationdistortion\(k\)-meansseparation rate

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Approximations to statistical distributions (nonasymptotic) (62E17)

Related Items (3)

Robust Bregman clustering ⋮ A notion of stability for \(k\)-means clustering ⋮ Clustering of measures via mean measure quantization

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