A Direct-Construction Based Fuzzy Support Vector Classifier
نویسنده
چکیده
Abstract: This study presents a novel direct-construction based fuzzy multiclass support vector classifier based on previous multi-class classification method by Crammer and Singer (2001). In our proposed method, the membership degree is computed by fuzzy c-means clustering, the optimal problem and its constraints of multiclass classification are reconstructed and its corresponding Lagrangian formula is re-deduced. Experimental comparison with the previous study indicates that our method can obtain better classification ratio.
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