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Results tagged with k-nearest-neighbour
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user 249377
A non-parametric method of classification and regression. The input consists of the $k$ closest training examples in the feature space. The output is either the mode of the neighbors (in classification) or their mean (in regression).
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Sparsity problem in KNN
There is something wrong with the following explanation regarding this figure:
The data densities are 6.3%, 4.19%, 1.39% respectively, so that the degrees of sparsity are 93.7%, 95.81%, 98.61%.
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