Relative cluster entropy for power-law correlated sequences

We propose an information-theoretical measure, the \textit{relative cluster entropy} \(\mathcal{D_{C}}[P \| Q] \), to discriminate among cluster partitions characterised by probability distribution functions \(P\) and \(Q\). The measure is illustrated with the clusters generated by pairs of fraction...

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Bibliographic Details

Published in:	arXiv.org
Main Authors:	Carbone, A, Ponta, L
Format:	Paper
Language:	English
Published:	Ithaca Cornell University Library, arXiv.org 09.08.2022
Subjects:	Clustering Continuity (mathematics) Distribution functions Divergence Entropy Exponents Pricing Probability distribution Probability distribution functions
ISSN:	2331-8422
Online Access:	Get full text
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