agglomerative

Unsupervised learning helps in discovering the hidden structure. Clustering Algorithms groups similar observations without labels perfect for customer segmentation, anomaly detection, and preprocessing.​ Connect With Us: WhatsApp K‑Means: The workhorse How k-Means works: Pick random centroids. Assign points to nearest centroid. Recalculate centroids as mean of assigned points. Repeat → convergence.​ Pros: Fast, scalable. Cons: Need…