Expectation maximization of gaussian mixture models via cuda in matlab

The following Matlab project contains the source code and Matlab examples used for expectation maximization of gaussian mixture models via cuda. This is a parallel implementation of the Expectation Maximization algorithm for multidimensional Gaussian Mixture Models, designed to run on NVidia graphics cards supporting CUDA.

The source code and files included in this project are listed in the project files section, please make sure whether the listed source code meet your needs there.

Project Files: 

File NameSize
cholesky.h 1980
compile.m 273
cpugaumixmod.h 4795
cpugmm.cpp 2533
cpugmm.mexw64 27136
errorellipse.m 210
experiment1.m 1819
experiment2.m 983
experiment3.m 984
gmm.cu 5611
gmm.linkinfo 261
gmm.mexw64 304128
gmm_example.m 426
gmm_test.m 5280
gpugaumixmod.h 10655
gpugaumixmod_kernel.h 12376
nr3matlab.h 18739
nr_cuda_util.h 7840
nvmex.m 10175
nvmexopts.bat 2985
nvmex_helper.m 8678
README.txt 3440
license.txt 1311