Seung Hwan Park

A Kernel Fisher Discriminant Analysis-Based Tree Ensemble Classifier: KFDA Forest

Donghwan Kim, Seung Hwan Park, Jun-Geol Baek

In general, an ensemble classifier is more accurate than a single classifier. In this study, we propose an ensemble classifier called the kernel Fisher discriminant analysis forest (KFDA Forest), which is a tree-based ensemble method that applies KFDA. To promote diversity, boots…Read more