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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 : Morse theory Unsupervised learning clustering computational topology mode seeking topological persistence
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https://hal.archives-ouvertes.fr/hal-00923563
Contributor : Frédéric Chazal Connect in order to contact the contributor
Submitted on : Friday, January 3, 2014 - 11:41:06 AM
Last modification on : Wednesday, February 2, 2022 - 3:51:16 PM

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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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