Upper bound estimations of misclassification rate in the heteroscedastic clustering model with sub-Gaussian noises

DOI10.1002/STA4.505MaRDI QIDQ6548739

Jinru Wang, Z. Zhang

Publication date: 3 June 2024

Published in: Stat (Search for Journal in Brave)

zbMATH Keywords

upper boundclusteringheteroscedasticitymisclassification ratesub-Gaussian

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

• Rate-optimal perturbation bounds for singular subspaces with applications to high-dimensional statistics
• Robust \(k\)-means clustering for distributions with two moments
• Heteroskedastic PCA: algorithm, optimality, and applications
• On the non-asymptotic concentration of heteroskedastic Wishart-type matrix
• High-Dimensional Probability
• Cutoff for Exact Recovery of Gaussian Mixture Models
• Fast classification rates without standard margin assumptions
• Perturbation upper bounds for singular subspaces with a kind of heteroskedastic noise and its application in clustering
• On the uniform concentration bounds and large sample properties of clustering with Bregman divergences

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