On Normalized Mutual Information: Measure Derivations and Properties

On Normalized Mutual Information: Measure Derivations and Properties

Starting with a new formulation for the mutual information (MI) between a pair of events, this paper derives alternative upper bounds and extends those to the case of two discrete random variables. Normalized mutual information (NMI) measures are then obtained from those bounds, emphasizing the use...

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Bibliographic Details
Main Author: Tarald O. Kvålseth
Format: Article
Language:English
Published: MDPI AG 2017-11-01
Series:Entropy
Subjects:
mutual information
normalized mutual information
association measures
similarity measures
value validity
Online Access:https://www.mdpi.com/1099-4300/19/11/631

Internet

https://www.mdpi.com/1099-4300/19/11/631

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