missForest with feature selection using binary particle swarm optimization improves the imputation accuracy of continuous data

被引：0
作者：
Heejin Jin
Surin Jung
Sungho Won
机构：
[1] Seoul National University,Institute of Health and Environment
[2] Seoul National University,Department of Public Health Sciences
[3] RexSoft Corp,undefined
来源：
Genes & Genomics | 2022年 / 44卷
关键词：
Imputation; Feature selection; Binary particle swarm optimization; missForest;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
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页码：651 / 658
页数：7
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