This directory contains some EXAMPLES for using the PyMixmod module (see licence at http://www.mixmod.org)/

Clustering
----------
- clustering/clustering_1 : a simple example :
    - on quantitative data (iris)
    - with default options
- clustering/clustering_2 : the same example than clustering_1 with :
    - several criteria
    - several model types
- clustering/clustering_3 : the same example than clustering_1 with :
    - chained algorithms (SEM and EM) and nbTry>1
- clustering/clustering_4 to 9 : the same example than clustering_1 with other initialisations
   - clustering/clustering_4 : SMALL_EM initialisation
   - clustering/clustering_5 : RANDOM initialisation
   - clustering/clustering_6 : CEM_INIT initialisation 
   - clustering/clustering_7 : SEM_MAX initialisation
   - clustering/clustering_8 : USER initialisation (with a parameter)
   - clustering/clustering_9 : USER_PARTITION initialisation (with a partition)
- clustering/clustering_10 : a clustering example with qualitative data
- clustering/clustering_11 : same as clustering_10, default options
- clustering/clustering_12 : quantitative data, (almost?) all models
- clustering/clustering_13 : heterogeneous clustering, (almost?) all models

Discriminant Analysis
---------------------
- comming soon..

=====================

How to run
----------
NB: If you installed PyMixmod with anaconda, make sure tu use the Python interpreter (noted $PYTHON below) comming with anaconda for running these examples (customarily PYTHON=$HOME/anaconda/bin/python or PYTHON=$HOME/anaconda3/bin/python). 

In order to run these exemples, execute in the directory containing this README file:

$PYTHON clustering/clustering_1.py
$PYTHON clustering/clustering_2.py
...
$PYTHON clustering/clustering_13.py

