Clustering high-dimensional count data through a mixture of multinomial PCA

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Published on January 25, 2021 Updated on January 25, 2021

The slides of the seminar "Clustering high-dimensional count data through a mixture of multinomial PCA" are available online!

On January 21, in the framework of the seminars organized by the MSI, Nicolas Jouvin (PhD student at Université Paris 1, SAAM Laboratory) addressed the problem of count data clustering, with the help of a mixture mode. You can find below the slides of his seminar "Clustering high dimensional count data through a mixture of multinomial PCA".


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