Granular Classification for Imbalanced Datasets: A Minkowski Distance-Based Method
The problem of classification for imbalanced datasets is frequently encountered in practical applications. The data to be classified in this problem are skewed, i.e., the samples of one class (the minority class) are much less than those of other classes (the majority class). When dealing with imbal...
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| Hlavní autoři: | , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
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MDPI AG
2021-02-01
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| Edice: | Algorithms |
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| On-line přístup: | https://www.mdpi.com/1999-4893/14/2/54 |
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