Mixtools is a toolbox designed for learning, prediction and control design with probability mixtures. The toolbox functions cover:
- Initialization of mixture estimation.
- Approximate mixture parameter estimation.
- Prediction with mixtures.
- Design of advisory systems
- Visualization.
The toolbox functions offers the possibility of processing with high-dimensional data records, dynamic mixture components and extensive sets of learning data.
Contact:
Support of grants
The toolbox has been developed under support of the following grants:
- Dynamic clustering: theory, algorithms and software, Grant Agency of the Czech Republic CR No. 102/03/0049, 2002-2005
- Dynamic clustering for control of complex processes, Academy of Sciences of the Czech Republic No. S1075351, 2002-2005
Local SVN repository (accessible with password only):
