.. DO NOT EDIT. .. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY. .. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE: .. "auto_examples/cluster/plot_digits_agglomeration.py" .. LINE NUMBERS ARE GIVEN BELOW. .. only:: html .. note:: :class: sphx-glr-download-link-note Click :ref:`here ` to download the full example code or to run this example in your browser via Binder .. rst-class:: sphx-glr-example-title .. _sphx_glr_auto_examples_cluster_plot_digits_agglomeration.py: ========================================================= Feature agglomeration ========================================================= These images how similar features are merged together using feature agglomeration. .. GENERATED FROM PYTHON SOURCE LINES 12-62 .. image:: /auto_examples/cluster/images/sphx_glr_plot_digits_agglomeration_001.png :alt: Original data, Agglomerated data, Labels :class: sphx-glr-single-img .. code-block:: default print(__doc__) # Code source: Gaƫl Varoquaux # Modified for documentation by Jaques Grobler # License: BSD 3 clause import numpy as np import matplotlib.pyplot as plt from sklearn import datasets, cluster from sklearn.feature_extraction.image import grid_to_graph digits = datasets.load_digits() images = digits.images X = np.reshape(images, (len(images), -1)) connectivity = grid_to_graph(*images[0].shape) agglo = cluster.FeatureAgglomeration(connectivity=connectivity, n_clusters=32) agglo.fit(X) X_reduced = agglo.transform(X) X_restored = agglo.inverse_transform(X_reduced) images_restored = np.reshape(X_restored, images.shape) plt.figure(1, figsize=(4, 3.5)) plt.clf() plt.subplots_adjust(left=.01, right=.99, bottom=.01, top=.91) for i in range(4): plt.subplot(3, 4, i + 1) plt.imshow(images[i], cmap=plt.cm.gray, vmax=16, interpolation='nearest') plt.xticks(()) plt.yticks(()) if i == 1: plt.title('Original data') plt.subplot(3, 4, 4 + i + 1) plt.imshow(images_restored[i], cmap=plt.cm.gray, vmax=16, interpolation='nearest') if i == 1: plt.title('Agglomerated data') plt.xticks(()) plt.yticks(()) plt.subplot(3, 4, 10) plt.imshow(np.reshape(agglo.labels_, images[0].shape), interpolation='nearest', cmap=plt.cm.nipy_spectral) plt.xticks(()) plt.yticks(()) plt.title('Labels') plt.show() .. rst-class:: sphx-glr-timing **Total running time of the script:** ( 0 minutes 0.273 seconds) .. _sphx_glr_download_auto_examples_cluster_plot_digits_agglomeration.py: .. only :: html .. container:: sphx-glr-footer :class: sphx-glr-footer-example .. container:: binder-badge .. image:: images/binder_badge_logo.svg :target: https://mybinder.org/v2/gh/scikit-learn/scikit-learn/0.24.X?urlpath=lab/tree/notebooks/auto_examples/cluster/plot_digits_agglomeration.ipynb :alt: Launch binder :width: 150 px .. container:: sphx-glr-download sphx-glr-download-python :download:`Download Python source code: plot_digits_agglomeration.py ` .. container:: sphx-glr-download sphx-glr-download-jupyter :download:`Download Jupyter notebook: plot_digits_agglomeration.ipynb ` .. only:: html .. rst-class:: sphx-glr-signature `Gallery generated by Sphinx-Gallery `_