K-means: build the core loop once, then use scikit-learn
10 min applied15 min research3 curated resources
Implement assign → update → repeat in NumPy on 2 features; then fit KMeans on both projects.
Concepts: Centroids; assignment and update steps; k-means++ initialisation; convergence; assumptions
Project A: 4–6 customer segments on (log R, log F, log M).
Project B: 3–5 day types on normalised profiles.
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