The self-organizing reduced kernel density estimator
Lasse Holmström, Aleksanteri Hämäläinen · 2002
The problem of reducing the number of terms in a kernal density estimator is considered. An online algorithm is proposed, where the kernel centers are tuned using the self-organizing feature map. The performance of the algorithm is compared with standard methods in numerical simulations.>