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MLDA: A tool for analyzing multi-label datasets
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DOI：10.1016/j.knosys.2017.01.018.png)
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Abstract
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The objective of this paper is to present MLDA, a tool for the exploration and analysis of multi-label datasets with both simple and multiple views. MLDA comprises a GUI and a Java API, providing the user with a wide set of charts, metrics, methods for transforming and preprocessing data, as well as comparison of several datasets. The paper introduces the main features of the framework, and introduces its use toward some illustrative examples. (C) 2017 Elsevier B.V. All rights reserved.
Keywords:
Multi-label learning
Software
Data exploration
Preprocessing
Data analysis
Dataset description
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