.. _`Generate dataset blobs`:

.. _`org.sysess.sympathy.machinelearning.generate_blobs`:

Generate dataset blobs
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.. image:: dataset_blobs.svg
   :width: 48


Generates an artificial dataset useful for testing clustering algorithms





Definition
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Output ports
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    **X**  table
        X

    **Y**  table
        Y




Configuration
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    **center_max** (center_max)
        Largest allowed coordinate for the generated centers
    **center_min** (center_min)
        Smallest allowed coordinate for the generated centers
    **centers** (centers)
        Number of clusters.
    **cluster_std** (cluster_std)
        Standard deviation of the clusters.
    **n_features** (n_features)
        The number of features for each sample.
    **n_samples** (n_samples)
        The total number of points equally divided among clusters.
    **shuffle** (shuffle)
        Shuffle datapoints (otherwise given in cluster order)









Implementation
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.. automodule:: node_io
    :noindex:

.. class:: MakeBlobs
    :noindex: