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Use of DRACULA for the visualization of the clustering of the data using SOM

In this module, the SOM method is used. It should be used for visualization of the possible clustering of the data. This use does not folow the steps of the pipeline. Be careful for this module may take a realy long time according to the parameters chosen. The configuration file is config_som.py.

Requirements

To run this module, you will need:

numpy

matplotlib

sklearn

minisom

Configuration file

Note that the SOM module has its own configuration file config_som.py. As this config file is used exclusively for SOM, there is no need for adding a prefix SOM_ before the extra parameters as it is done in the main pipeline.

Pipeline function

Inside your own working dir with the config_som.py file you can use any of these functions:

To run the whole som pipeline execute:

DRAC_SOM

Outputs

The outputs of placed in som_res/.