Welcome to the PAMAE repository! This project is created by Francesco Dal Bello and contains the source code for the PAMAE application.
PAMAE is the python implementation of the algorithm described in this paper and has the following functionality
I merely implemented it in python, the intellectual rights and merits are of the researchers cited.
pamae(ds_import, 2, 1000, 5)
To use the algorithm change the parameters in the pamae() function --> pamae(dataset, number_of_sample, sample_size, number_of_clusters). The dataset should be in csv format and should contain only quantitative values, so any pre-editing of the file may be necessary. For plots to make sense the data must be in two dimensions, loading data in p dimensions the plots will be equally generated but meaningless.
Phase 1 output: 
Phase 2 output: 
The algorithm saves the result of the processing in a MongoDB database
This is the result on a benchmark dataset
Thank you for the suggestions provided: Pierluigi and Filippo
This project is licensed under the MIT Licence. See the LICENSE file for more details.
If you have any questions or suggestions regarding Pamae, please feel free to contact us:
- Email: [email protected]
- GitHub: francescodalbi
I appreciate your interest in my implementation of PAMAE and look forward to your feedback!