Prototypes Reduction and Feature Selection based on Fuzzy Boundary Area for Nearest Neighbor Classifiers

International Journal of Fuzzy Systems, pp. 639-654, 2018.

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EI

Abstract:

For prototype-based classifiers, the number of prototypes results in increasing the computational time so that it takes very long time for a prototype-based classifier to determine the class label of an associated data. Many researchers have been interested in the reduction of the number of prototypes without degradation of the classifica...More

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