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Library/ Machine Learning (Supervised + Unsupervised)/ Unsupervised Learning by Building (one technique, two mini projects)/ U02 · Build: Clustering — A: Customer Segmentation with RFM (Online Retail II) · B: Electricity Day Types

subtopic

Gaussian Mixture Models

10 min applied15 min research1 curated resources

Fit GMMs for several k and covariance types; choose by BIC; read soft memberships. Concepts: Mixture components; soft assignment; covariance types; EM (idea); BIC/AIC Project A: Customers between 'at risk' and 'loyal' (borderline) = targets for retention offers. Project B: Transition days in spring/autumn with mixed membership.

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Gaussian Mixture Models · 1x1labs.ai