Point Information Gain and Multidimensional Data Analysis

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21340%2F16%3A00306007" target="_blank" >RIV/68407700:21340/16:00306007 - isvavai.cz</a>
Alternative codes found
RIV/60076658:12520/16:43890692
Result on the web
<a href="http://www.mdpi.com/1099-4300/18/10/372" target="_blank" >http://www.mdpi.com/1099-4300/18/10/372</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3390/e18100372" target="_blank" >10.3390/e18100372</a>

Result language
angličtina
Original language name
Point Information Gain and Multidimensional Data Analysis
Original language description
We generalize the point information gain (PIG) and derived quantities, i.e., point information gain entropy (PIE) and point information gain entropy density (PIED), for the case of the Renyi entropy and simulate the behavior of PIG for typical distributions. We also use these methods for the analysis of multidimensional datasets. We demonstrate the main properties of PIE/PIED spectra for the real data with the examples of several images and discuss further possible utilizations in other fields of data processing.
Czech name
—
Czech description
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Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
BD - Information theory
OECD FORD branch
—

Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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