Generate Clusters

Using unsupervised machine learning, group exploration results according to user-specified criteria.

Restriction: Currently, clustering is only supported on Windows.
  1. From the Design Explorer ribbon, Evaluate tool group, click the Results Explorer tool.


    Figure 1.
    The Results Explorer browser opens.
  2. In the Results Explorer browser, click the Clusters icon .
  3. Click to create a new dataset.
  4. In the Dataset dialog, select a Subcase.
  5. Select one or more Result Types, a Step, and Part IDs of parts to be included in the clustering.
    Note: If no PartIDs are selected, all parts will be used in the clustering.
  6. Click Request.
  7. Click Submit.

The clustering report is generated. Depending on the size of the model and results, the report may take some time to generate.

Once generated, the Dataset dialog will close, and the newly created cluster information will appear.



Figure 2.

Visualize Clusters

There are a number of tools and features to help with interrogation and visualization of cluster information.

  • Click Show Dendrogram to display the dendrogram for a given clustering.
    A dendrogram is a visual tool which shows the hierarchical relationship between clusters.
  • Click Show Cluster Score to display a silhouette plot for a given clustering.
    The silhouette plot provides an indication of the validity and consistency within the clustering and how well each run has been classified.
  • Enable the Show Clusters checkbox to color the runs on an active scatter plot by cluster.
  • Right-click on a cluster and select Animate Selection.
    This loads an animation in the active HyperView client (if the active client is not a HyperView client, a new one is opened), overlaying the final deformed shape of each run in the selected cluster. This can be useful for visualizing the deformed shape of the given cluster as a whole.
  • Right-click on a cluster or in the white space of the Clusters column and select Animate all Clusters.
    This creates a new page and loads an animation for each cluster in a new HyperView client, overlaying the final deformed shape of each run in each cluster. This can be useful for visualizing the deformed shape of each cluster as a whole and comparing one cluster to another.
  • Select a cluster in the Clusters column, and the runs comprising that cluster are displayed in the Runs in Cluster column. Select one or more runs in the Runs in Cluster column, right-click, and select Overlay Selection.
    This will load an animation in the active HyperView client (if the active client is not a HyperView client, a new one is opened), overlaying the results, including all timesteps, of each of the selected runs.
  • Click Generate Classifier to create a classifier based on the current clustering.
    Classification will allow the clustering information to be used, where the classification assignment can serve as a constraint in an optimization. This feature will be enhanced and leveraged in a coming release.