The following node is available in the Open Source KNIME predictive analytics and data mining platform version 2.7.1. Discover over 1000 other nodes, as well as enterprise functionality at http://knime.com.

Hierarchical Cluster Assigner

Assigns clusters to rows based on an hierarchical clustering. You may either select a fixed number of cluster or enter a distance threshold. If the latter is used then all clusters in the dendrogram will be used that have the smallest distance to the threshold but are below it. The threshold is given as a normalized distance between 0 and 1. All distances are normalized based on the maximum distance.

Dialog Options

Assign clusters based on
Select if you want to assign clusters based on a fixed number or based on a distance threshold.
Number of clusters
The number of clusters (i.e. the level in the cluster tree) that should be created.
Distance threshold
The normalized distance below which clusters should be selected.

Ports

Input Ports
0 The tree created from the Hierarchical Cluster node.
1 The data that should be clustered using hierarchical clustering. Only numeric columns are considered, nominal columns are ignored.
Output Ports
0 The input data with an extra column with the cluster name where the data point is assigned to.
This node is contained in KNIME Distance Matrix Extension provided by KNIME GmbH, Konstanz, Germany.