- Type: TableInputInput data for the clustering. Only numeric columns are considered in the clustering.
This component runs K-means algorithm and outputs the Euclidean distance between every point and the clusters' centroids. In the configuration dialog, you can select whether to calculate the distance to every cluster's centroid or only to the one each points belongs to. 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). This component is free to use and modify. Author: Andrea De Mauro, aboutbigdata.net
- Type: TableData with clustersThe input data labeled with the cluster they are contained in.
- Type: TableClustersThe created clusters, i.e. the coordinates of the centroids.
- Type: PMMLPMML Cluster ModelPMML cluster model
Used extensions & nodes
Created with KNIME Analytics Platform version 4.3.2 Note: Not all extensions may be displayed.
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