Software Open Access

armadillo-gmm

Sanderson, Conrad; Curtin, Ryan

Armadillo C++ library v7.960 containing gmm_diag and gmm_full classes.  The gmm_diag and gmm_full classes provide multi-threaded (parallelised) implementations of Gaussian mixture models and the associated Expectation-Maximisation training algorithm.  The gmm_diag class is specifically tailored for diagonal covariance matrices (all entries outside the main diagonal in each covariance matrix are assumed to be zero), while the gmm_full class is tailored for full covariance matrices. The gmm_diag class is typically much faster to train and use than the gmm_full class, at the potential cost of some reduction in modelling accuracy.

 

Files (5.6 MB)
Name Size
armadillo-gmm.zip
md5:ce17d9ba2c80c7fa34ffc7d972e98cbd
5.6 MB Download
12
3
views
downloads
All versions This version
Views 1211
Downloads 30
Data volume 17.0 MB0 Bytes
Unique views 1211
Unique downloads 20

Share

Cite as