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DTSTART:20180325T010000
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DTSTART:20181028T010000
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DTSTART;TZID=Europe/Paris:20181001T140000
DTEND;TZID=Europe/Paris:20181001T151500
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SUMMARY:Christophe GIRAUD (Université Paris-Sud) - "Partial recovery bounds for clustering with (corrected) relaxed Kmeans (2/2)"
DESCRIPTION:\nThe Statistical Seminar: Every Monday at 2:00 pm.\nTime: 2:00 pm – 3:15 pm\nDate: 1st of October 2018\nPlace: Room 3001.\nChristophe GIRAUD (Université Paris-Sud) “Partial recovery bounds for clustering with (corrected) relaxed Kmeans (2/2)” \nAbstract: We will explain why\, in a clustering context\, Kmeans must and can be debiased. We will then discuss how a convex relaxation of the corrected Kmeans can be applied in various setting (including mixture of sub-Gaussian distribution\, SBM\, Ising-Block model\, etc) and we will provide some optimal exponential bounds in terms of partial recovery of the clusters. Hence\, the relaxed (corrected) Kmeans appears to be a versatile clustering tool\, with the nice feature to have a single tuning parameter (the number K of clusters). \nOrganizers:\nCristina BUTUCEA\, Alexandre TSYBAKOV\, Julie JOSSE\, Eric MOULINES\, Mathieu ROSENBAUM\nSponsors:\nCREST-CMAP\n \n\n
URL:https://crest.science/event/jamal-najim-cnrs-upem-tba-2-2-3-5-2-2-2-2-2-2/
CATEGORIES:Statistics
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