Lecture
Nearest Neighbor Rules: Part 2
In course
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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.
Instructor
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Official source
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Ontological neighbourhood
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