DeprecatedKNIME Base Nodes version 3.7.0.v201812031623 by KNIME AG, Zurich, Switzerland
This node outputs the cluster centers for a predefined number of
clusters (no dynamic number of clusters).
K-means performs a crisp clustering that assigns a data
vector to exactly one cluster. The algorithm terminates when the
cluster assignments do not change anymore.
The clustering algorithm uses the Euclidean distance on the selected attributes. The data is not normalized by the node (if required, you should consider to use the "Normalizer" as a preprocessing step).
If the optional PMML inport is connected and contains preprocessing operations in the TransformationDictionary those are added to the learned model. The node can be configured as follows:
To use this node in KNIME, install KNIME Base Nodes from the following update site:
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