Hierarchical support vector machine classifying method based on rejection subspace
A support vector machine and classification method technology, applied in the field of hierarchical support vector machine classification, can solve the problems of unbalanced number of category samples, classifiers cannot fully utilize effective information, and reduce the size of the original data set.
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[0033] Various details involved in the technical solution of the present invention will be described in detail below in conjunction with the accompanying drawings. It should be pointed out that the described embodiments are only intended to facilitate the understanding of the present invention, rather than limiting it in any way.
[0034] 1. Method overview
[0035] figure 1 A flow chart of the hierarchical support vector machine classification method based on the rejection subspace is shown. Because multi-class classification is a series of two-class classification problems, and parallel processing can be achieved by using one-to-many training discriminant criteria, we only discuss the case of two-class classification here. The main steps of the hierarchical support vector machine classification method based on the rejection subspace are as follows:
[0036] Step S1: Divide the data set into a training data set and a verification data set in proportion; determine the total...
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