Name
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.3390/e18100372 | ENTROPY |
Keywords | Field | DocType |
point information gain (PIG),Renyi entropy,data processing | Mathematical optimization,Data processing,Multidimensional analysis,Rényi entropy,Information gain,Information diagram,Statistics,Mathematics | Journal |
Volume | Issue | Citations |
18 | 10 | 4 |
PageRank | References | Authors |
0.56 | 9 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Renata Rychtáriková | 1 | 13 | 5.67 |
| Jan Korbel | 2 | 5 | 0.99 |
| Petr Machácek | 3 | 7 | 1.62 |
| Petr Císar | 4 | 25 | 9.86 |
| Jan Urban | 5 | 9 | 4.26 |
| Dalibor Štys | 6 | 34 | 11.17 |