{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/understanding-a-version-of-multivariate","title":"Understanding a Version of Multivariate Symmetric Uncertainty to assist in Feature Selection","arxiv_id":"1709.08730","date":"2017-09-25","proceeding":null,"authors":["Gustavo Sosa-Cabrera","Miguel García-Torres","Santiago Gómez","Christian Schaerer","Federico Divina"],"abstract":"In this paper, we analyze the behavior of the multivariate symmetric\nuncertainty (MSU) measure through the use of statistical simulation techniques\nunder various mixes of informative and non-informative randomly generated\nfeatures. Experiments show how the number of attributes, their cardinalities,\nand the sample size affect the MSU. We discovered a condition that preserves\ngood quality in the MSU under different combinations of these three factors,\nproviding a new useful criterion to help drive the process of dimension\nreduction.","url_abs":"http://arxiv.org/abs/1709.08730v1","url_pdf":"http://arxiv.org/pdf/1709.08730v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"understanding-a-version-of-multivariate","repo_url":"https://cran.r-project.org/package=msu","is_official":1,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"dimensionality-reduction","task_name":"Dimensionality Reduction"},{"task_slug":"feature-selection","task_name":"feature selection"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}