Partial recovery bounds for clustering with the relaxed $K$-means

Author:

Giraud Christophe1,Verzelen Nicolas2

Affiliation:

1. Université Paris-Sud, Orsay, France

2. Université de Montpellier, France

Publisher

European Mathematical Society - EMS - Publishing House GmbH

Subject

General Medicine

Cited by 11 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Sketch-and-solve approaches to k-means clustering by semidefinite programming;Information and Inference: A Journal of the IMA;2024-07-01

2. A Robust Spectral Clustering Algorithm for Sub-Gaussian Mixture Models with Outliers;Operations Research;2023-01

3. Reliable prediction in the Markov stochastic block model;ESAIM: Probability and Statistics;2023

4. Computationally efficient sparse clustering;Information and Inference: A Journal of the IMA;2022-08-08

5. Hidden Integrality and Semirandom Robustness of SDP Relaxation for Sub-Gaussian Mixture Model;Mathematics of Operations Research;2022-08

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