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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}
}
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Licensing

The code is provided "as-is" under the terms of General Public License. See LICENSE for full details.

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Semi-Supervised Learning with Limited Data

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