MLDA: A tool for analyzing multi-label datasets

作者：

Highlights：

• A tool for exploration and analysis of multi-label datasets.

• Includes a wide set of metrics and charts to characterize multi-label datasets.

• Includes preprocessing, format conversion and multiple datasets comparison.

• Allows a complete study of label relationships and label imbalance.

• Provides specific characterization for multi-view multi-label datasets.

摘要

•A tool for exploration and analysis of multi-label datasets.•Includes a wide set of metrics and charts to characterize multi-label datasets.•Includes preprocessing, format conversion and multiple datasets comparison.•Allows a complete study of label relationships and label imbalance.•Provides specific characterization for multi-view multi-label datasets.

论文关键词：Multi-label learning,Software,Data exploration,Preprocessing,Data analysis,Dataset description

论文评审过程：Received 3 October 2016, Revised 12 January 2017, Accepted 13 January 2017, Available online 14 January 2017, Version of Record 21 February 2017.

论文官网地址：https://doi.org/10.1016/j.knosys.2017.01.018