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Persistence-Based Clustering in Riemannian Manifolds

Frédéric Chazal 1 Leonidas J. Guibas 2 Steve Y. Oudot 1 Primoz Skraba 1
1 GEOMETRICA - Geometric computing
CRISAM - Inria Sophia Antipolis - Méditerranée , Inria Saclay - Ile de France
2 Computer Science Department [Stanford]
Keywords : mode seeking computational topology clustering Unsupervised learning Morse theory topological persistence
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https://hal.archives-ouvertes.fr/hal-00923563
Contributor : Frédéric Chazal <>
Submitted on : Friday, January 3, 2014 - 11:41:06 AM
Last modification on : Friday, February 26, 2021 - 9:30:02 AM

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Frédéric Chazal, Leonidas J. Guibas, Steve Y. Oudot, Primoz Skraba. Persistence-Based Clustering in Riemannian Manifolds. Journal of the ACM (JACM), Association for Computing Machinery, 2013, 60 (6), pp.38. ⟨hal-00923563⟩

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