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 ...
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 ...
C&EN

Gaussian Process Nonlinear Model Predictive Control for Online Partially Observable Systems: An Application to Froth Flotation

Department of Chemical Engineering, Imperial College London, London SW7 2AZ, U.K. Sargent Centre for Process Systems Engineering, Imperial College London, London SW7 2AZ, U.K.
IEEE

Unsupervised Transformer-Based ClusterGAN and Infinite Gaussian Mixture Models for Modulation Signal Clustering

Abstract: In wireless communication networks, the abundance of electromagnetic devices poses a significant challenge to the security of electromagnetic space. The emergence of automatic modulation ...
IEEE

Clustering and Predicting Smartphones Features using Gaussian Mixture Model Algorithm

Abstract: The Gaussian Mixture Model algorithm was used to identify common functionality and patterns from the Smartphone dataset, and address the overlap of clustered data in other clustering ...