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Mutual Information between Discrete and Continuous Data Sets

Mutual information (MI) is a powerful method for detecting relationships between data sets. There are accurate methods for estimating MI that avoid problems with “binning” when both data sets are discrete or when both data sets are continuous. We present an accurate, non-binning MI estimator for the...

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Detalles Bibliográficos
Autor principal: Ross, Brian C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3929353/
https://www.ncbi.nlm.nih.gov/pubmed/24586270
http://dx.doi.org/10.1371/journal.pone.0087357

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