A Noisy-sample-removed Under-sampling Scheme for Imbalanced Classification of Public Datasets
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DOI: 10.1016/j.ifacol.2021.04.202
Abstract: Abstract Classification technology plays an important role in machine learning. In the process of classification, the presence of noisy samples in datasets tends to reduce the performance of a classifier. This work proposes a clustering-based… read more here.
Keywords: classification; sampling scheme; removed sampling; sample removed ... See more keywords