A Clustering-Guided Integer Brain Storm Optimizer for Feature Selection in High-Dimensional Data
For high-dimensional data with a large number of redundant features, existing feature selection algorithms still have the problem of “curse of dimensionality.” In view of this, the paper studies a new two-phase evolutionary feature selection algorithm, called clustering-guided integer brain storm op...
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| Hoofdauteurs: | , , |
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| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
Wiley
2021-01-01
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| Reeks: | Discrete Dynamics in Nature and Society |
| Online toegang: | http://dx.doi.org/10.1155/2021/8462493 |
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