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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. | 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== | ==Related Rhea Pages== | ||
| − | *[[ | + | *[[Lecture_17_-_Nearest_Neighbors_Clarification_Rule_and_Metrics_OldKiwi|Lecture 17 from ECE662 Spring 2008]] |
| + | *[[Lecture_18_-_Nearest_Neighbors_Clarification_Rule_and_Metrics(Continued)_OldKiwi|Lecture 18 from ECE662 Spring 2008]] | ||
| + | *[[Lecture_19_-_Nearest_Neighbor_Error_Rates_OldKiwi|Lecture 19 from ECE662 Spring 2008]] | ||
*[[KNN_algorithm_OldKiwi|A KNN tutorial, from ECE662 Spring 2008]] | *[[KNN_algorithm_OldKiwi|A KNN tutorial, from ECE662 Spring 2008]] | ||
Revision as of 10:42, 22 March 2012
Lecture 20 Blog, ECE662 Spring 2012, Prof. Boutin
Wednesday March 22, 2012 (Week 10)
Quick link to lecture blogs: 1|2|3|4|5|6|7|8| 9|10|11|12|13|14|15|16|17|18|19|20|21|22|23|24|25|26|27|28|29|30
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
- Lecture 17 from ECE662 Spring 2008
- Lecture 18 from ECE662 Spring 2008
- Lecture 19 from ECE662 Spring 2008
- A KNN tutorial, from ECE662 Spring 2008
Previous: Lecture 19
Next: Lecture 21
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