Clustering Networks based on Distance Matrix

The workflow clusters the node adjacency matrix and inserts the clustering as new node partitions into the network.
Once all cluster members are assigned to the corresponding cluster partition a partition graph is generated which shows the connections between partitions and the size of each partition.

Clustering Networks based on Distance Matrix



EXAMPLES Server: 08_Other_Analytics_Types/05_Network_Mining/06_Clustering_Networks_based_on_Distance_Matrix08_Other_Analytics_Types/05_Network_Mining/06_Clustering_Networks_based_on_Distance_Matrix*
Download a zip-archive




* Find more about the Examples Server here.
The link will open the workflow directly in KNIME Analytics Platform (requirements: Windows; KNIME Analytics Platform must be installed with the Installer version 3.2.0 or higher). In other cases, please use the link to a zip-archive or open the provided path manually