Mutual information inspired feature selection using kernel canonical correlation analysis
(2019)
Journal Article
Wang, Y., Cang, S., & Yu, H. (2019). Mutual information inspired feature selection using kernel canonical correlation analysis. Expert Systems with Applications, 4, Article 100014. https://doi.org/10.1016/j.eswax.2019.100014
This paper proposes a filter-based feature selection method by combining the measurement of kernel canonical correlation analysis (KCCA) with the mutual information (MI)-based feature selection method, named mRMJR-KCCA. The mRMJR-KCCA maximizes the r... Read More about Mutual information inspired feature selection using kernel canonical correlation analysis.