Extensions of the k Nearest Neighbour methods for classification problems

International conference on Artificial intelligence and applications
Pages: 23 - 28
Published: Feb 6, 2008
Abstract
The k Nearest Neighbour (kNN) method is a widely used technique which has found several applications in clustering and classification. In this paper, we focus on classification problems and we propose modifications of the nearest neighbour method that exploit information from the structure of a dataset. The results of our experiments using datasets from the UCI repository demonstrate that the classifiers produced perform generally better than...
Paper Details
Title
Extensions of the k Nearest Neighbour methods for classification problems
Published Date
Feb 6, 2008
Journal
Pages
23 - 28
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