Good (K-means) clusterings are unique (up to small perturbations)-Reference-Cited by-同舟云学术

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Good (K-means) clusterings are unique (up to small perturbations)

Published:2019-09 Issue: Volume:173 Page:1-17
ISSN:0047-259X
Container-title:Journal of Multivariate Analysis
language:en
Short-container-title:Journal of Multivariate Analysis

Author:

Meilă Marina

Funder

National Science Foundation, USA

Publisher

Elsevier BV

Subject

Statistics, Probability and Uncertainty,Numerical Analysis,Statistics and Probability

Reference40 articles.

1. On spectral learning of mixtures of distributions;Achlioptas,2005

2. Learning spectral clustering;Bach,2004

3. Statistical Guarantees for the EM Algorithm: From Population to Sample-Based Analysis;Balakrishnan,2018

4. Noise thresholds for spectral clustering;Balakrishnan,2011

5. Clustering under approximation stability;Balcan;J. ACM,2013

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