The function performs fast K-Means clustering algorithm and returns cluster means and averages. Specifically, the rows associated with positive cluster IDs in output contain the average values of each of the clustered columns and the count for each cluster ID. The rows associated with negative cluster IDs contain the variance of each of the clustered columns for each cluster ID. There is an additional optional input table that specifies the dataset containing clustering output.
- Type: DB SessionTeradata ConnectionConnection to a Teradata Database Instance
- Type: TableK Means VAL inputK Means VAL input
- Type: TableCentroids DataK Means VAL input