期刊
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
卷 184, 期 -, 页码 102-111出版社
ELSEVIER SCIENCE BV
DOI: 10.1016/j.chemolab.2018.11.010
关键词
Feature selection; Biomedical dataset; Coral reefs optimization; Tournament selection; Simulated annealing
类别
资金
- National Natural Science Foundation of China [61802113, 61802114]
The last decades have witnessed accumulation in biomedical data. Though they can be analyzed to enhance assessment of at-risk patients and improve the diagnosis, a major challenge associated with biomedical data analysis is the so-called curse of dimensionality. For the issue, an improved Coral Reefs Optimization algorithm for selecting the best feature subsets has been proposed. Tournament selection strategy is adopted to increase the diversity of initial population individuals. The KNN classifier is used to evaluate the classification accuracy. Experimental results on thirteen public medical datasets show proposed BCROSAT outperforms other state-of-theart methods.
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