Properties that can be configured for the HANA R-K-Means algorithm.
| Property | Description |
|---|---|
| Output Mode | Select the mode in which you want to use the output of this algorithm |
| Features | Select input columns with which you want to perform the analysis. |
| Number of Clusters | Enter the number of groups for clustering. The default value is 5. |
| Cluster Name | Enter a name for the newly created column that contains cluster numbers. |
| Maximum Iterations | Enter the number of iterations allowed for finding clusters. The default value is 100. |
| Number of Initial Cluster Center Sets | Enter the number of random initial cluster center sets for clustering (n start). The default value is 1. |
| Initial Cluster Center Seed | Enter a value to randomly select initial cluster centers from acquired data. |
| Algorithm Type | Select the type of algorithm that you want to use for performing HANA R-K-Means clustering. |