A New Fuzzy Stacked Generalization Technique and Analysis of its Performance

1 Apr 2012Mete OzayFatos T. Yarman Vural

In this study, a new Stacked Generalization technique called Fuzzy Stacked Generalization (FSG) is proposed to minimize the difference between N -sample and large-sample classification error of the Nearest Neighbor classifier. The proposed FSG employs a new hierarchical distance learning strategy to minimize the error difference... (read more)

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