Point Information Gain and Multidimensional Data Analysis
AbstractWe 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 Rényi 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. View Full-Text
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Rychtáriková, R.; Korbel, J.; Macháček, P.; Císař, P.; Urban, J.; Štys, D. Point Information Gain and Multidimensional Data Analysis. Entropy 2016, 18, 372.
Rychtáriková R, Korbel J, Macháček P, Císař P, Urban J, Štys D. Point Information Gain and Multidimensional Data Analysis. Entropy. 2016; 18(10):372.Chicago/Turabian Style
Rychtáriková, Renata; Korbel, Jan; Macháček, Petr; Císař, Petr; Urban, Jan; Štys, Dalibor. 2016. "Point Information Gain and Multidimensional Data Analysis." Entropy 18, no. 10: 372.
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