WEBINARS IN STATISTICS @ COLLEGIO CARLO ALBERTO https://www.carloalberto.org/events/category/seminars/seminars-in-statistics/?tribe-bar-date=2019-09-01
Venerdi 30 Aprile 2021, alle ore 12.00, si terrà il seguente webinar:
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Speaker: *Matthias Loffler *(ETH Zurich)
Title: *Optimality of Spectral Clustering in the Gaussian Mixture Model*
Zoom link:
https://us02web.zoom.us/j/81943504316?pwd=anlwTXpXSkU4R1ZsMjMxVEo5NHcwQT09
Meeting ID: 819 4350 4316
Passcode: 355115
Abstract: Spectral clustering is one of the most popular algorithms to group high dimensional data. It is easy to implement and computationally efficient. Despite its popularity and successful applications, its theoretical properties have not been fully understood. We show that spectral clustering is minimax optimal in the Gaussian Mixture Model with isotropic covariance matrix, when the number of clusters is fixed and the signal-to-noise ratio is large enough. Spectral gap conditions are widely assumed in the literature to analyze spectral clustering. On the contrary, we show that these conditions are not needed. ------------------------------------------------
Il webinar è organizzato dalla "de Castro" Statistics Initiative
www.carloalberto.org/stats
Cordiali saluti,
Pierpaolo De Blasi
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University of Torino & Collegio Carlo Alberto
carloalberto.org/pdeblasi https://sites.google.com/a/carloalberto.org/pdeblasi/