- Tytuł:
- Estimation of information entropy based on its visualization
- Autorzy:
-
Cholewa, M.
Palys, M. - Powiązania:
- https://bibliotekanauki.pl/articles/333282.pdf
- Data publikacji:
- 2017
- Wydawca:
- Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
- Tematy:
-
Shannon's entropy
information theory
visualization
entropia Shannona
teoria informacji
wizualizacja - Opis:
- This paper describes the method which allows an estimation of information entropy in the meaning of Shannon. The method is suitable to an estimation which sample has a higher value of information entropy. Several algorithms have been used to estimate entropy, assuming that they do it faster. Each algorithm has calculated this value for several text samples. Then analysis has verified which comparisons of the two samples were correct. It has been found that the probabilistic algorithm is the fastest and most effective in returning the estimated value of entropy.
- Źródło:
-
Journal of Medical Informatics & Technologies; 2017, 26; 18-25
1642-6037 - Pojawia się w:
- Journal of Medical Informatics & Technologies
- Dostawca treści:
- Biblioteka Nauki
Artykuł