- OutputTable
- Specify the name of the table of cluster centroids.
- ClusterAssignmentTable
- Specify the name of the table of the clusters.
- UnpackColumns
- [Optional] Specify whether the means for each centroid appear unpacked (that is, in separate columns) in the OutputTable.
- InitialSeeds
- [Optional] Specify the initial seed means as strings of underscore-delimited DOUBLE PRECISION values. For example, this clause initializes eight clusters in eight-dimensional space:
InitialSeeds ('50_50_50_50_50_50_50_50', '150_150_150_150_150_150_150_150', '250_250_250_250_250_250_250_250', '350_350_350_350_350_350_350_350', '450_450_450_450_450_450_450_450', '550_550_550_550_550_550_550_550', '650_650_650_650_650_650_650_650', '750_750_750_750_750_750_750_750')
- NumClusters
- [Optional] Specify the number of clusters to create from the data.
- Seed
- [Optional] Specify the random seed the algorithm uses for repeatable results. The algorithm uses the seed to randomly sample the input table rows as initial clusters. The seed must be a nonnegative LONG value.For repeatable results, use both the Seed and UniqueID syntax elements. For more information, see Nondeterministic Results and UniqueID Syntax Element.
- StopThreshold
- [Optional] Specify the convergence threshold. When the centroids move by less than this amount, the algorithm has converged.
- MaxIterNum
- [Optional] Specify the maximum number of iterations that the algorithm runs before quitting if the convergence threshold has not been met.