.. _`Generate dataset blobs`:

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

Generate dataset blobs
~~~~~~~~~~~~~~~~~~~~~~

.. image:: dataset_blobs.svg
   :width: 48


Generates an artificial dataset useful for testing clustering algorithms

*Configuration*:


  - *n_samples*

    The total number of points equally divided among clusters.

  - *n_features*

    The number of features for each sample.

  - *centers*

    Number of clusters.

  - *cluster_std*

    Standard deviation of the clusters.

  - *center_min*

    Smallest allowed coordinate for the generated centers

  - *center_max*

    Largest allowed coordinate for the generated centers

  - *shuffle*

    Shuffle datapoints (otherwise given in cluster order)



*Input ports*:


*Output ports*:
    **X** : table
        X
    **Y** : table
        Y



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

.. automodule:: node_io

.. class:: MakeBlobs