Improving covariance-regularized discriminant analysis for EHR-based predictive analytics of diseases

Appl. Intell., pp. 377-395, 2020.

Cited by: 0|Bibtex|Views2|DOI:https://doi.org/10.1007/s10489-020-01810-4
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Other Links: academic.microsoft.com|dblp.uni-trier.de

Abstract:

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

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