What is the difference between KNN and K-Means in intuition terms?

KNN is supervised and predicts labels using neighbors, while K-Means is unsupervised and clusters data into groups.

KNN uses labeled data and assigns labels based on similarity to existing points. K-Means, on the other hand, iteratively updates centroids to form clusters without labels. One is instance-based prediction; the other is structure discovery.