Feature Selection for Optimized High-Dimensional Biomedical Data Using an Improved Shuffled Frog Leaping Algorithm
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DOI: 10.1109/tcbb.2016.2602263
Abstract: High dimensional biomedical datasets contain thousands of features which can be used in molecular diagnosis of disease, however, such datasets contain many irrelevant or weak correlation features which influence the predictive accuracy of diagnosis. Without… read more here.
Keywords: high dimensional; feature selection; leaping algorithm; frog leaping ... See more keywords