SimpleKMeans

This Node Is Deprecated — This node is kept for backwards-compatibility, but the usage in new workflows is no longer recommended. The documentation below might contain more information.

Cluster data using the k means algorithm.

For further options, click the 'More' - button in the dialog.

All weka dialogs have a panel where you can specify classifier-specific parameters.

Options

Preliminary Attribute Check

The Preliminary Attribute Check tests the underlying clusterer against the DataTable specification at the inport of the node. Columns that are compatible with the classifier are marked with a green 'ok'. Columns which are potentially not compatible are assigned a red error message.

Input Ports

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Training data

Output Ports

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Weka Cluster Model

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Views

Weka Node View
Each weka node provides a summary view that provides information about the clustering.

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Links

Developers

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