- Category:
- AI-NN-PR
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- File Size:
- 2kb
- Update:
- 2017-01-19
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- 董小鱼
Description: SVM is mainly for the analysis of linear separable cases. Linearly indivisible cases are transformed into high dimensional feature spaces linearly by using non-linear mapping algorithm to linearly indivisible samples of low-dimensional input space, so that high-dimensional feature space It is possible to linearly analyze the nonlinear characteristics of the samples using a linear algorithm.
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Support Vector Machine.R
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