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This paper proposes a Support Vector Machine integration methodology, which is based on dynamic selection method. Using FCM-SD algorithm, an improved method from FCM and closeness degree algorithms, the effective neighborhood of the discriminated sample is determined. Furthermore, based on the accuracies of segment classifications, a set of optimal individual classifiers are selected. Finally a weighted...
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