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4:15 pm

Applied Math Talk: Stochastic similarity matrices and data clustering given by Prof. Denis Gaidashev (Uppsala University)

November 11 @ 4:15 pm - 5:15 pm
Emmy Noether Room, Millikan 1021, Pomona College, 610 N. College Ave.
Claremont, California 91711
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Clustering in image analysis is a central technique that allows to classify elements of an image. We describe a simple clustering technique that uses the method of similarity matrices, and an algorithm in which a collection of image elements is treated as a dynamical system. Efficient clustering in this framework   is achieved if the dynamical system admits […]

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