Revision as of 09:39, 22 March 2012

Lecture 20 Blog, ECE662 Spring 2012, Prof. Boutin

Wednesday March 22, 2012 (Week 10)

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Today we talked about the nearest neighbor decision rule. We pointed out that this rule can obtained as a special case of a (biased estimate) formula for estimating the mixture density at a point x using the nearest neighbor among a set of labeled samples drawn from the mixture density.

Related Rhea Pages

• A page about K-Nearest Neighbor from ECE662 Spring 2008
• A KNN tutorial, from ECE662 Spring 2008

Previous: Lecture 19

Next: Lecture 21

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