- Tytuł:
- A new heuristic possibilistic clustering algorithm for feature selection
- Autorzy:
-
Kacprzyk, J.
Owsinski, J. W.
Viattchenin, D. A. - Powiązania:
- https://bibliotekanauki.pl/articles/384599.pdf
- Data publikacji:
- 2014
- Wydawca:
- Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
- Tematy:
-
feature selection
fuzzy correlation measure
possibilistic clustering
heuristic possibilistic clustering
fuzzy cluster - Opis:
- The paper deals with the problem of selection of the most informative features. A new effective and efficient heuristic possibilistic clustering algorithm for feature selection is proposed. First, a brief description of basic concepts of the heuristic approach to possibilistic clustering is provided. A technique of initial data preprocessing is described and a fuzzy correlation measure is considered. The new algorithm is described and then illustrated on the well-known Iris data set benchmark and the results obtained are compared with those by using the conventional, well-known and widely employed method of principal component analysis (PCA). Conclusions and suggestions for future research are given.
- Źródło:
-
Journal of Automation Mobile Robotics and Intelligent Systems; 2014, 8, 2; 40-46
1897-8649
2080-2145 - Pojawia się w:
- Journal of Automation Mobile Robotics and Intelligent Systems
- Dostawca treści:
- Biblioteka Nauki
Artykuł