An Innovative Excited-ACS-IDGWO Algorithm for Optimal Biomedical Data Feature Selection
نویسندگان
چکیده
منابع مشابه
Fast SFFS-Based Algorithm for Feature Selection in Biomedical Datasets
Biomedical datasets usually include a large number of features relative to the number of samples. However, some data dimensions may be less relevant or even irrelevant to the output class. Selection of an optimal subset of features is critical, not only to reduce the processing cost but also to improve the classification results. To this end, this paper presents a hybrid method of filter and wr...
متن کاملfast sffs-based algorithm for feature selection in biomedical datasets
biomedical datasets usually include a large number of features relative to the number of samples. however, some data dimensions may be less relevant or even irrelevant to the output class. selection of an optimal subset of features is critical, not only to reduce the processing cost but also to improve the classification results. to this end, this paper presents a hybrid method of filter and wr...
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ژورنال
عنوان ژورنال: BioMed Research International
سال: 2020
ISSN: 2314-6133,2314-6141
DOI: 10.1155/2020/8506365