Hierarchical Cluster Assigner

Predictor

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.
Note that the assigner only assigns the same data that has been used for clustering to clusters. It is not capable of assigning unseen data.

Input Ports

  1. Type: Cluster Tree The tree created from the Hierarchical Cluster node.
  2. Type: Data The data that should be clustered using hierarchical clustering. Only numeric columns are considered, nominal columns are ignored. Must be the same table that has been used for creating the cluster model.

Output Ports

  1. Type: Data The input data with an extra column with the cluster name where the data point is assigned to.

Find here

Analytics > Mining > Clustering

Make sure to have this extension installed:

KNIME Distance Matrix

Update site for KNIME Analytics Platform 3.7:
KNIME Analytics Platform 3.7 Update Site

How to install extensions