Machine Learning
Intermediate
Pro
Clustering & Dimensionality Reduction
Find structure in unlabelled data with k-means, DBSCAN, GMMs, PCA, t-SNE and UMAP — and know when each one lies to you
28 min read
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Learn k-means, hierarchical clustering, DBSCAN and Gaussian mixtures, how to choose k and evaluate clusters without labels, and how PCA, t-SNE and UMAP compress high-dimensional data — with a worked PCA example and interview traps.