GitHub

AKDE: Multivariate Adaptive Kernel Density Estimation Using Gaussian Mixture Model

AKDE provides an accurate, adaptive kernel density estimator based on the Gaussian Mixture Model for multidimensional data. This Python implementation includes automatic grid construction for ...
IEEE

Mixture Density Function Estimation in Shape Clustering

Abstract: Recent developments in measurement tools have made it easier to obtain shape data, a collection of point coordinates in vector space that are meaningful when some of them are gathered ...
IEEE

Mixture model clustering of binned uncertain data: the classification approach

Abstract: Basing cluster analysis on Gaussian mixture models is a powerful approach. In this context, two commonly used maximum likelihood approaches have been proposed: the mixture approach and the ...
GitHub

Depth–aware Particle/Bubble Tracking

Gaussian Mixture Model GMM (unsupervised): GMMs allow for soft-clustering, and have shown greater accuracy in image classification than hard-clustering methods [7]. COMPLETED Random Forest (supervised ...