HIGHLIGHTS
- who: Min-Relevance Label et al. from the of Computer Science Technology, Jilin University, Changchun, China have published the research: Multi-Label Feature Selection Based on Min-Relevance Label, in the Journal: (JOURNAL)
- what: The authors believe that a good model should have considerable performance on classification for each label in the data set, therefore the authors propose a method named multi-label Feature Selection method based on Min-relevance Label (MRLFS) that first finds the label set that has minimized relevance and then select features based on the label set. To solve these issues . . .
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