.. _f-kmeans022:

module ``mlmodel._kmeans_022``
==============================







Short summary
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module ``mlinsights.mlmodel._kmeans_022``

Implements k-means with norms L1 and L2.


:githublink:`%|py|6`






Functions
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+------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------+
| function                                                                                                   | truncated documentation                                                                                                  |
+============================================================================================================+==========================================================================================================================+
| :func:`_assign_labels_array <mlinsights.mlmodel._kmeans_022._assign_labels_array>`                         | Compute label assignment and inertia for a dense array Return the inertia (sum of squared distances to the centers). ... |
+------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------+
| :func:`_assign_labels_csr <mlinsights.mlmodel._kmeans_022._assign_labels_csr>`                             | Compute label assignment and inertia for a CSR input Return the inertia (sum of squared distances to the centers).       |
+------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------+
| :func:`_centers_dense <mlinsights.mlmodel._kmeans_022._centers_dense>`                                     | M step of the K-means EM algorithm Computation of cluster centers / means.                                               |
+------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------+
| :func:`_centers_sparse <mlinsights.mlmodel._kmeans_022._centers_sparse>`                                   | M step of the K-means EM algorithm Computation of cluster centers / means.                                               |
+------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------+
| :func:`_labels_inertia_precompute_dense <mlinsights.mlmodel._kmeans_022._labels_inertia_precompute_dense>` | Computes labels and inertia using a full distance matrix. This will overwrite the 'distances' array in-place.            |
+------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------+
| :func:`_labels_inertia_skl <mlinsights.mlmodel._kmeans_022._labels_inertia_skl>`                           | E step of the K-means EM algorithm. Compute the labels and the inertia of the given samples and centers. This will ...   |
+------------------------------------------------------------------------------------------------------------+--------------------------------------------------------------------------------------------------------------------------+








Documentation
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.. automodule:: mlinsights.mlmodel._kmeans_022
    :members:
    :special-members: __init__
    :show-inheritance: