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...

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Bibliographic Details
Main Authors: Yan Xuefeng, Zhang Yuqing, Khan Arif Ali
Format: Article
Language:English
Published: EDP Sciences 2021-01-01
Series:MATEC Web of Conferences
Online Access:https://www.matec-conferences.org/articles/matecconf/pdf/2021/05/matecconf_cscns20_07011.pdf