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Version: 0.32.2

Cluster

The Cluster skill lets you divide groups of abstract data into classes of similar data. Unlike [Train], the Cluster skill doesn't require a labeled dataset.

Format​

Cluster has a single format with several variations: Cluster data (excluding | including) <columns> (setting number of clusters to <number of clusters>) (using <model>).

Parameters​

Cluster uses the following parameters:

  • columns (optional). The columns to exclude or include in your cluster. Not selecting a column will use all columns in the dataset to cluster data.
  • number of clusters (optional). The number of clusters to create.
  • model (optional). Using the Hierarchical Clustering Model or the KMeans Clustering Model. Not selecting a model will use both to cluster data.

Output​

If data is successfully clustered, a preview message appears in the chat history. This message contains a link to preview the ClusterResults dataset. An output also appears in the visualization panel displaying the Cluster Centroids, Models, Scores, and Pipeline Report.

Examples​

To cluster the "Titanic Dataset" in it's entirety, enter Cluster data.

To cluster the Age, Fare, and Gender columns, enter Cluster data including Age, Fare, Gender setting number of clusters to 3 using Hierarchical Clustering Model.