Asymmetric Spectral clustering

Antoine Lejay 1, 2
2 TOSCA - TO Simulate and CAlibrate stochastic models
CRISAM - Inria Sophia Antipolis - Méditerranée , IECL - Institut Élie Cartan de Lorraine : UMR7502
Abstract : This report presents the mathematical foundation of the asymmetric spectral clustering approach given in the thesis of S.E. Atev (University of Wisconsin, 2011). This method, implemented in a companion R package AsymmetricClustering, is based on a Riemannian conjugate gradient algorithm to find a minimization problem based on an optimization problem involving unitary matrix.
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https://hal.inria.fr/hal-02372570
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Submitted on : Wednesday, November 20, 2019 - 2:46:34 PM
Last modification on : Thursday, November 28, 2019 - 1:28:11 AM

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Antoine Lejay. Asymmetric Spectral clustering. [Technical Report] Inria Nancy - Grand Est. 2019. ⟨hal-02372570⟩

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