×
A GMM fitting procedure oriented to supervised classification is proposed, with the aim of reducing the number of free parameters.
Sep 15, 2007 · The proposed procedure avoids the “curse of dimensionality”, is able to model structure in subspaces and regularizes the classification model.
People also ask
A white noise matrix based on the Fisher information matrix is proposed for use as the projection index, and the eigenanalysis of the estimated matrix index ...
Calo, Daniela G., 2007. "Gaussian mixture model classification: A projection pursuit approach," Computational Statistics & Data Analysis, Elsevier, vol.
Dec 27, 2019 · We propose a projection pursuit (PP) algorithm based on Gaussian mixture models (GMMs). The negentropy obtained from a multivariate density estimated by GMMs ...
Oct 22, 2024 · We propose a projection pursuit (PP) algorithm based on Gaussian mixture models (GMMs). The negentropy obtained from a multivariate density ...
In this paper we propose a method for fitting the GMMs based on the projection pursuit (PP) strategy. By means of simulations we show that the proposed ...
Missing: approach. | Show results with:approach.
This work proposes an 'evolutionary Gaussian Mixture Model' for classification, where a statistical sample of models evolves to a stable solution and ...
We propose a projection pursuit (PP) algorithm based on Gaussian mixture models (GMMs). The negentropy obtained from a multivariate density estimated by ...
An R package implementing a Projection Pursuit (PP) algorithm based on finite Gaussian Mixture. Models (GMMs) for density estimation using Genetic Algorithms ( ...
Missing: approach. | Show results with:approach.