Multilabel Feature Selection Using Relief and Minimum Redundancy Maximum Relevance Based on Neighborhood Rough Sets
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DOI: 10.1109/access.2020.2982536
Abstract: Recently, multilabel classification is of increasing interest in machine learning and artificial intelligence. However, the distances of samples in most Relief methods easily result in heterogeneous or similar samples abnormal when the distances are very… read more here.
Keywords: based neighborhood; multilabel feature; relief minimum; feature selection ... See more keywords