An algorithm acceleration framework for correlation-based feature selection
Repeated calculations lead to a sharp increase in the time of correlation-based feature selection. Incremental iteration has been applied in some algorithms to improve the efficiency. However, the computational efficiency of correlation has generally be ignored. An algorithm acceleration framework f...
Main Authors: | Yan Xuefeng, Zhang Yuqing, Khan Arif Ali |
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Format: | Article |
Language: | English |
Published: |
EDP Sciences
2021-01-01
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Series: | MATEC Web of Conferences |
Online Access: | https://www.matec-conferences.org/articles/matecconf/pdf/2021/05/matecconf_cscns20_07011.pdf |
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