Improving covariance-regularized discriminant analysis for EHR-based predictive analytics of diseases
Appl. Intell., pp. 377-395, 2020.
Linear Discriminant Analysis (LDA) is a well-known technique for feature extraction and dimension reduction. The performance of classical LDA however, significantly degrades on the High Dimension Low Sample Size (HDLSS) data for the ill-posed inverse problem. Existing approaches for HDLSS data classification typically assume the data in q...More
Full Text (Upload PDF)
PPT (Upload PPT)