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Learning to Combine Distances for Complex Representations
Published on 2007-06-237128 Views
The k-Nearest Neighbors algorithm can be easily adapted to classify complex objects (e.g. sets, graphs) as long as a proper dissimilarity function is given over an input space. Both the representation