Properties that can be configured for the Automated (Auto) Clustering algorithm in HANA and non-HANA scenarios.
The Auto Clustering algorithm discovers segments in the data with reference to a target variable. This is done by automatically selecting a clustering algorithm and key input variables to generate the best model.
However, you can train Auto Clustering without a target variable. If one is provided, it is used internally to verify the performance of clustering and fine tune the model automatically.
For more information about the functions used in online Automated algorithms, see the SAP Automated Predictive Library Reference Guide (APL) at http://help.sap.com/pa
| Property | Description |
|---|---|
| Features | Select the input columns with which you want to perform the analysis. |
| Target Variable | Select an optional target column for which you want to perform the analysis. |
| Minimum Number of Clusters | Enter the minimum number of clusters that you want to use for clustering. |
| Maximum Number of Clusters | Enter the maximum number of clusters that you want to use for clustering. |
| Predicted Column Name | Enter a name for the newly-created column that contains predicted values. |