DeprecatedKNIME Base Nodes version 4.1.2.v202003032313 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 Core from the following update site:
You want to see the source code for this node? Click the following button and we’ll use our super-powers to find it for you.
Do you have feedback, questions, comments about NodePit, want to support this platform, or want your own nodes or workflows listed here as well? Do you think, the search results could be improved or something is missing? Then please get in touch! Alternatively, you can send us an email to firstname.lastname@example.org, follow @NodePit on Twitter, or chat on Gitter!
Please note that this is only about NodePit. We do not provide general support for KNIME — please use the KNIME forums instead.