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Support Vector Based Prototype Selection Method for Nearest Neighbor Rules
[chapter]
2005
Lecture Notes in Computer Science
The Support vector machines derive the class decision hyper planes from a few, selected prototypes, the support vectors (SVs) according to the principle of structure risk minimization, so they have good generalization ability. We proposed a new prototype selection method based on support vectors for nearest neighbor rules. It selects prototypes only from support vectors. During classification, for unknown example, it can be classified into the same class as the nearest neighbor in feature space
doi:10.1007/11539087_68
fatcat:xtvfohm6tjcetjtxesn77lldqu