Dynamic selection of normalization techniques using data complexity measures

作者：

Highlights：

• Data complexity analysis.

• Dynamic selection of normalization technique.

• Deciding whether to use min–max/z-score normalization.

• Kernelized Extreme Learning Machine.

摘要

•Data complexity analysis.•Dynamic selection of normalization technique.•Deciding whether to use min–max/z-score normalization.•Kernelized Extreme Learning Machine.

论文关键词：Data complexity,Data preprocessing,Min–max normalization,z-score normalization,Gaussian Kernel ELM

论文评审过程：Received 16 October 2017, Revised 16 March 2018, Accepted 5 April 2018, Available online 10 April 2018, Version of Record 25 April 2018.

论文官网地址：https://doi.org/10.1016/j.eswa.2018.04.008