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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Vydané v:	arXiv.org
Hlavní autori:	Carbone, A, Ponta, L
Médium:	Paper
Jazyk:	English
Vydavateľské údaje:	Ithaca Cornell University Library, arXiv.org 09.08.2022
Predmet:	Clustering Continuity (mathematics) Distribution functions Divergence Entropy Exponents Pricing Probability distribution Probability distribution functions
ISSN:	2331-8422
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