Abstract:Due to its simplicity and intuitivity, the k-nearest neighbor method is one of the most commonly used technique to address different classification problems. However, to apply such a classification technique, a distance metric is to be considered to define a certain distance in the feature space. Usually classic norms such as Minkowski, Mahalanobis, etc. are used, but even though they can be applied to all type of feature spaces, there is a lack of specificity of these methods for the data in use. Our goal is … Show more
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