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...
Main Authors: | Jia Yun-Tao, Zhang Wan-Qiu, He Chun-Lin |
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Format: | Article |
Language: | English |
Published: |
Hindawi Limited
2021-01-01
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Series: | Discrete Dynamics in Nature and Society |
Online Access: | http://dx.doi.org/10.1155/2021/8462493 |
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