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UID:1599@i2m.univ-amu.fr
DTSTART;TZID=Europe/Paris:20170227T140000
DTEND;TZID=Europe/Paris:20170227T150000
DTSTAMP:20170212T130000Z
URL:https://www.i2m.univ-amu.fr/evenements/kernel-spectral-clustering/
SUMMARY: (...): Kernel spectral clustering
DESCRIPTION:: We consider the setting of performing spectral clustering in 
 a Hilbert space. We show how spectral clustering\, coupled with some preli
 minary change of representation in a reproducing kernel Hilbert space\, ca
 n bring down the representation of classes to a low-dimensional space and 
 we propose a new algorithm for spectral clustering that automatically esti
 mates the number of classes. http://pages.saclay.inria.fr/ilaria.giulini/
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DTSTART:20161030T020000
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