Lecture

Probabilistic Interpretation: K-Means & GMM

In course

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Description

This lecture covers the probabilistic interpretation of K-means clustering, introducing the soft K-means algorithm and its relation to Gaussian Mixture Models (GMM). It explains the E-step and M-step in the context of GMM, emphasizing the computation of responsibilities, likelihoods, and the update of means and covariances.

Instructor

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Official source

https://mediaspace.epfl.ch/media/0_pjsxsycl

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