2025-01-152025-01-152017Moyano Murillo, J.M. (2017). MLDA: A tool for analyzing multi-label datasets. Knowledge-Based Systems, 121. https://doi.org/10.1016/j.knosys.2017.01.018.0950-70511872-7409https://hdl.handle.net/11441/166681The objective of this paper is to present MLDA, a tool for the exploration and analysis of multi-labeldatasets with both simple and multiple views. MLDA comprises a GUI and a Java API, providing the userwith a wide set of charts, metrics, methods for transforming and preprocessing data, as well as compari- son of several datasets. The paper introduces the main features of the framework, and introduces its usetoward some illustrative examples.application/pdf3 p.engAttribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/Multi-label learningSoftwareData explorationPreprocessingData analysisDataset descriptionMLDA: A tool for analyzing multi-label datasetsinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/openAccess10.1016/j.knosys.2017.01.018