Point Divergence Gain and Multidimensional Data Sequences Analysis

We introduce novel information-entropic variables—a Point Divergence Gain ( Ω α ( l → m ) ), a Point Divergence Gain Entropy ( I α ), and a Point Divergence Gain Entropy Density ( P α )—which are derived from the Rényi entropy and describe spatio-temporal changes between two cons...

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Main Authors: Renata Rychtáriková, Jan Korbel, Petr Macháček, Dalibor Štys
Format: Article
Language:English
Published: MDPI AG 2018-02-01
Series:Entropy
Subjects:
Online Access:http://www.mdpi.com/1099-4300/20/2/106
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author Renata Rychtáriková
Jan Korbel
Petr Macháček
Dalibor Štys
author_facet Renata Rychtáriková
Jan Korbel
Petr Macháček
Dalibor Štys
author_sort Renata Rychtáriková
collection DOAJ
description We introduce novel information-entropic variables—a Point Divergence Gain ( Ω α ( l → m ) ), a Point Divergence Gain Entropy ( I α ), and a Point Divergence Gain Entropy Density ( P α )—which are derived from the Rényi entropy and describe spatio-temporal changes between two consecutive discrete multidimensional distributions. The behavior of Ω α ( l → m ) is simulated for typical distributions and, together with I α and P α , applied in analysis and characterization of series of multidimensional datasets of computer-based and real images.
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spelling doaj.art-7cf8a26ec8184055be2bae8d1502117b2022-12-22T04:23:08ZengMDPI AGEntropy1099-43002018-02-0120210610.3390/e20020106e20020106Point Divergence Gain and Multidimensional Data Sequences AnalysisRenata Rychtáriková0Jan Korbel1Petr Macháček2Dalibor Štys3Institute of Complex Systems, South Bohemian Research Center of Aquaculture and Biodiversity of Hydrocenoses, Kompetenzzentrum MechanoBiologie in Regenerativer Medizin, Faculty of Fisheries and Protection of Waters, University of South Bohemia in České Budějovice, Zámek 136, 373 33 Nové Hrady, Czech RepublicSection for Science of Complex Systems, CeMSIIS, Medical University of Vienna, Spitalgasse 23, 1090 Vienna, AustriaInstitute of Complex Systems, South Bohemian Research Center of Aquaculture and Biodiversity of Hydrocenoses, Kompetenzzentrum MechanoBiologie in Regenerativer Medizin, Faculty of Fisheries and Protection of Waters, University of South Bohemia in České Budějovice, Zámek 136, 373 33 Nové Hrady, Czech RepublicInstitute of Complex Systems, South Bohemian Research Center of Aquaculture and Biodiversity of Hydrocenoses, Kompetenzzentrum MechanoBiologie in Regenerativer Medizin, Faculty of Fisheries and Protection of Waters, University of South Bohemia in České Budějovice, Zámek 136, 373 33 Nové Hrady, Czech RepublicWe introduce novel information-entropic variables—a Point Divergence Gain ( Ω α ( l → m ) ), a Point Divergence Gain Entropy ( I α ), and a Point Divergence Gain Entropy Density ( P α )—which are derived from the Rényi entropy and describe spatio-temporal changes between two consecutive discrete multidimensional distributions. The behavior of Ω α ( l → m ) is simulated for typical distributions and, together with I α and P α , applied in analysis and characterization of series of multidimensional datasets of computer-based and real images.http://www.mdpi.com/1099-4300/20/2/106point divergence gain (PDG)Rényi entropydata processing
spellingShingle Renata Rychtáriková
Jan Korbel
Petr Macháček
Dalibor Štys
Point Divergence Gain and Multidimensional Data Sequences Analysis
Entropy
point divergence gain (PDG)
Rényi entropy
data processing
title Point Divergence Gain and Multidimensional Data Sequences Analysis
title_full Point Divergence Gain and Multidimensional Data Sequences Analysis
title_fullStr Point Divergence Gain and Multidimensional Data Sequences Analysis
title_full_unstemmed Point Divergence Gain and Multidimensional Data Sequences Analysis
title_short Point Divergence Gain and Multidimensional Data Sequences Analysis
title_sort point divergence gain and multidimensional data sequences analysis
topic point divergence gain (PDG)
Rényi entropy
data processing
url http://www.mdpi.com/1099-4300/20/2/106
work_keys_str_mv AT renatarychtarikova pointdivergencegainandmultidimensionaldatasequencesanalysis
AT jankorbel pointdivergencegainandmultidimensionaldatasequencesanalysis
AT petrmachacek pointdivergencegainandmultidimensionaldatasequencesanalysis
AT daliborstys pointdivergencegainandmultidimensionaldatasequencesanalysis