Clustering Mixtures with Almost Optimal Separation in Polynomial Time-Reference-Cited by-同舟云学术

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Clustering Mixtures with Almost Optimal Separation in Polynomial Time

Published:2024-02-22 Issue: Volume: Page:STOC22-46-STOC22-102
ISSN:0097-5397
Container-title:SIAM Journal on Computing
language:en
Short-container-title:SIAM J. Comput.

Author:

Li Jerry¹,Liu Allen²

Affiliation:

1. Microsoft Research, Redmond, WA 98052 USA.

2. Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA 02139 USA. This work was partially done while the author was working as an intern at Microsoft Research.

Funder

National Science Foundation

Hertz Foundation

Publisher

Society for Industrial & Applied Mathematics (SIAM)

Reference15 articles.

1. Learning mixtures of separated nonspherical Gaussians

2. Polynomial Learning of Distribution Families

3. An Almost Constant Lower Bound of the Isoperimetric Coefficient in the KLS Conjecture

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