Anti-noise twin-hyperspheres with density fuzzy for binary classification to imbalanced data with noise
Abstract This paper presents twin-hyperspheres of resisting noise for binary classification to imbalanced data with noise. First, employing the decision of evaluating the contributions created by points for the training of the hyperspheres, then the label density estimator is introduced into the fuz...
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| Format: | Article |
| Language: | English |
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Springer
2023-07-01
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| Series: | Complex & Intelligent Systems |
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| Online Access: | https://doi.org/10.1007/s40747-023-01089-1 |