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UnLESS: Unsupervised Learning for Electoral Systems' Studies

This software is presented in the Presenting_UnLESS.pdf paper, where its general functioning is described.

exec_python.py is the executable which launches the program.
This launcher asks for a schedule to be executed: the ex folder includes some examples used in the paper. electoral_system.nlogo includes the simulation written in NetLogo.
neural_network.py includes the scripts used to manage the neural network and the learning.

The *.ipynb files report the data analysis done for the papers.
The data folder includes the data produced and analyzed for the paper.
Tho plot folder includes the plot used in paper to present the results.

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Unsupervised Learning for Electoral Systems' Study

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