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Prototype selection for dissimilarity-based classifiers
Pattern Recognition, no. 2 (2006): 189-208
EI
摘要
A conventional way to discriminate between objects represented by dissimilarities is the nearest neighbor method. A more efficient and sometimes a more accurate solution is offered by other dissimilarity-based classifiers. They construct a decision rule based on the entire training set, but they need just a small set of prototypes, the so...更多
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