Support vector machines based on subtractive clustering


Support vector machines combining subtractive clustering method are proposed in this paper. Subtractive clustering method is used to select a set of cluster centers which are the data samples themselves as the representation of original massive set of training data. The new training set then is used to construct support vector machines. Two benchmarks on… (More)


5 Figures and Tables

Slides referencing similar topics