The focus of this paper is a convergence study of the frequency sensitive competitive learning (FSCL) algorithm. We approximate the final phase of FSCL ...
Diffusion Approximation of Frequency ... Abstract—The focus of this paper is a convergence study of the frequency sensitive competitive learning (FSCL) algorithm.
Diffusion Approximation of Frequency ... Abstract—The focus of this paper is a convergence study of the frequency sensitive competitive learning (FSCL) algorithm.
This paper approximate the final phase of FSCL learning by a diffusion process described by the Fokker-Plank equation and shows that the convergence ...
Diffusion approximation of frequency sensitive competitive learning. The focus of this paper is a convergence study of the frequency sensitive competitive ...
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Diffusion Approximation of Frequency Sensitive Competitive Learning. By: Ahalt, S. C; Galanopoulos, A. S; Moses, R. L. Material type: Article ...
Abstract—This paper derives three competitive learning mech- anisms from first principles to obtain clusters of comparable sizes.
The focus of this paper is a convergence study of the frequency sensitive competitive learning (FSCL) algorithm. We approximate the final phase of FSCL ...
Abstract—Competitive learning mechanisms for clustering in general suffer from poor performance for very high dimensional.
We study the codeword distribution for a conscience-type competitive learning algorithm, frequency sensitive competitive learning (FSCL), using one-dimensional�...