Optimal weighted nearest neighbour classifiers
โ Scribed by Samworth, Richard J.
- Book ID
- 125845419
- Publisher
- Institute of Mathematical Statistics
- Year
- 2012
- Tongue
- English
- Weight
- 334 KB
- Volume
- 40
- Category
- Article
- ISSN
- 0090-5364
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๐ SIMILAR VOLUMES
A novel classi"er is introduced to overcome the limitations of the k-NN classi"cation systems. It estimates the posterior class probabilities using a local Parzen window estimation with the k-nearest-neighbour prototypes (in the Euclidean sense) to the pattern to classify. A learning algorithm is al
It is now well-established that k nearest-neighbour classi"ers o!er a quick and reliable method of data classi"cation. In this paper we extend the basic de"nition of the standard k nearest-neighbour algorithm to include the ability to resolve con#icts when the highest number of nearest neighbours ar