Oversampling method based on angle and direction clustering
An oversampling and angle technology, applied in character and pattern recognition, instruments, computer parts, etc., can solve the problems of poor data set effect, easy to fall between most types of samples, ignoring importance and other problems, and achieve the solution effect. worsening effect
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[0060] In order to make the objectives, technical solutions and advantages of the present invention clearer, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention, but not to limit the present invention. In addition, the technical features involved in the various embodiments of the present invention described below can be combined with each other as long as they do not conflict with each other.
[0061] The basic idea of the present invention is to propose an oversampling method based on angle and direction clustering to improve the effect of unbalanced learning from a data-level perspective. The method uses the angle variance to learn the distribution of samples in the data space, and Based on Fisher's optimal segmentation algorithm, the label receiving list of data samples is obtained, a...
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