Classtering: Variational Bayesian Mixtures of Factor Analysers
Description
Matlab code for paper Classtering: Joint Classification and Clustering with Mixture of Factor Analysers
Demos
run
- demo_cake_ssl
- demo_gauss_ssl
- demo_spiral_ssl
- demo_ring_ssl
- demo_chainlink_ssl
- demo_atom_ssl
Datasets
CAKE | Ring | Chainlink | Spiral |
---|---|---|---|
Other information
- If you use this software, please cite as:
@inproceedings{sansone2016classtering, title={Classtering: Joint Classification and Clustering with Mixture of Factor Analysers}, author={Sansone, Emanuele and Passerini, Andrea and De Natale, Francesco}, booktitle={ECAI}, year={2016}, organization={IOS PRESS} }
- Contact me
Licensing
The code is provided “as-is” under the terms of General Public License.
See LICENSE
for full details.