.. _example.mixture:


Examples:
=========

.. code-block:: python

    >>> import numpy as np
    >>> from cassiopy.mixture import SkewTMixture
    >>> from cassiopy.mixture import SkewT
    >>> data, y_true = SkewT().random_cluster(n_samples=10000, n_dim=2, n_clusters=10, labels=True, random_state=4)

    >>> model = SkewTMixture(n_cluster=10, init='gmm', n_iter=100, n_init=4, verbose=0).fit(data)
    >>> y_pred = model.predict(data)
    >>> model.ARI(y_true, y_pred)
   0.9828358328555337
    >>> model.save('model.h5')


.. code-block:: python
    
    >>> # Plotting
    >>> plt.scatter(data[:, 0], data[:, 1], c=y_pred, cmap='viridis', s=3)
    >>> plt.xlabel('dim 1')
    >>> plt.ylabel('dim 2')

    >>> plt.text(max(data[:, 0]), max(data[:, 1]), s = f'ARI: {MM.ARI(y_true, y_pred):.3f}', fontsize=12, color='black', ha='right', va='top')
    >>> plt.title('Clustering using SkewT Mixture Model')




.. raw:: html

   <div style="display: flex; justify-content: center;">

.. figure:: ../_static/Images/Skewt_clustering.png
   :alt: Clustering using SkewT Mixture Model
   :width: 500px
   :align: center

.. figure:: ../_static/Images/Skewt_clustering_true.png
   :alt: Another image
   :width: 500px
   :align: center

.. raw:: html

   </div>