This is the code repository of the paper Multi-partition clustering of mixed data with Bayesian networks (International Journal of Intelligent Systems).
This project is organized in several folders:
- data. It contains the original data and the transformed data necessary for learning the clustering models.
- src. Main repository of source code. It contains the Java implementations as well as the code necessary for running the experiments.
- python-project. Secondary repository of source code. It contains the Python source code necessary for analyzing the results of the clustering and density estimation experiments.
- r-project. Secondary code directory. It contains the R source code necessary for running the ClustMD and MixCluster algrithms on the Parkinson data.
- latent_results. Results of the density estimation experiments with 36 mixed datasets.
- clustering_results. Results of the clustering experiment with the Parkinson data.
- Project installation
- Run density estimation experiments
- Run clustering experiment with Parkinson data
Parkinson data should not be used for independent publications without the approval of the Movement disorders society.
- For any enquiries about the project, please email [email protected].