Feature Selection for Optimized High-Dimensional Biomedical Data Using an Improved Shuffled Frog Leaping Algorithm
نویسندگان
چکیده
منابع مشابه
Feature Selection for Optimized High-dimensional Biomedical Data using the Improved Shuffed Frog Leaping Algorithm.
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 a feature selection algorithm, it is difficult for the existing classification techniques to accurately identify patterns in the features. ...
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ژورنال
عنوان ژورنال: IEEE/ACM Transactions on Computational Biology and Bioinformatics
سال: 2018
ISSN: 1545-5963,1557-9964,2374-0043
DOI: 10.1109/tcbb.2016.2602263