Maximum relevancy maximum complementary feature selection for multi-sensor activity recognition

作者：

Highlights：

• We propose a feature selection algorithm using MRMC.

• Show that MRMC provides a good result comparing to the 3 popular algorithms.

• The complementary measure improves the performance of the Clamping algorithm.

• Evaluate the proposed algorithm on 2 well-defined problems and 5 real life data sets.

摘要

•We propose a feature selection algorithm using MRMC.•Show that MRMC provides a good result comparing to the 3 popular algorithms.•The complementary measure improves the performance of the Clamping algorithm.•Evaluate the proposed algorithm on 2 well-defined problems and 5 real life data sets.

论文关键词：Feature selection,Neural networks,Mutual information,Activity recognition

论文评审过程：Available online 23 August 2014.

论文官网地址：https://doi.org/10.1016/j.eswa.2014.07.052