- Tytuł:
- Combined classifier based on feature space partitioning
- Autorzy:
-
Woźniak, M.
Krawczyk, B. - Powiązania:
- https://bibliotekanauki.pl/articles/331294.pdf
- Data publikacji:
- 2012
- Wydawca:
- Uniwersytet Zielonogórski. Oficyna Wydawnicza
- Tematy:
-
rozpoznawanie wzorców
system klasyfikujący wielokrotny
algorytm grupowania
algorytm selekcji
algorytm ewolucyjny
pattern recognition
combined classifier
multiple classifier system
clustering algorithm
selection algorithm
evolutionary algorithm - Opis:
- This paper presents a significant modification to the AdaSS (Adaptive Splitting and Selection) algorithm, which was developed several years ago. The method is based on the simultaneous partitioning of the feature space and an assignment of a compound classifier to each of the subsets. The original version of the algorithm uses a classifier committee and a majority voting rule to arrive at a decision. The proposed modification replaces the fairly simple fusion method with a combined classifier, which makes a decision based on a weighted combination of the discriminant functions of the individual classifiers selected for the committee. The weights mentioned above are dependent not only on the classifier identifier, but also on the class number. The proposed approach is based on the results of previous works, where it was proven that such a combined classifier method could achieve significantly better results than simple voting systems. The proposed modification was evaluated through computer experiments, carried out on diverse benchmark datasets. The results are very promising in that they show that, for most of the datasets, the proposed method outperforms similar techniques based on the clustering and selection approach.
- Źródło:
-
International Journal of Applied Mathematics and Computer Science; 2012, 22, 4; 855-866
1641-876X
2083-8492 - Pojawia się w:
- International Journal of Applied Mathematics and Computer Science
- Dostawca treści:
- Biblioteka Nauki
Artykuł