Lecture

Nearest Neighbor Rules: Part 2

Description

This lecture covers the Nearest Neighbor Rules, focusing on the k-NN algorithm and its challenges in high-dimensional spaces. It explains the Bayes classifier solution and the k-means algorithm for clustering, with examples and applications to the MNIST dataset.

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