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Library/ Machine Learning (Supervised + Unsupervised)/ Unsupervised Learning by Building (one technique, two mini projects)/ U04 · Build: Anomaly Detection — A: Credit-Card Fraud Detection · B: Electricity Load Anomalies

subtopic

Clustering-based detection

10 min applied10 min research1 curated resources

Use distance to nearest k-means centroid and DBSCAN noise as anomaly scores. Concepts: Distance-to-centroid; noise points; limitations Project A: Centroid distance on scaled features vs Isolation Forest ranking. Project B: Days far from every day-type profile (from U02).

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Clustering-based detection · 1x1labs.ai