armadillo-gmm
| Main Authors: | Sanderson, Conrad, Curtin, Ryan |
|---|---|
| Format: | info software Journal |
| Terbitan: |
, 2017
|
| Online Access: |
https://zenodo.org/record/918329 |
Daftar Isi:
- 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.