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The class parameter names the classification variables to be used as explanatory variables in the analysis. It accepts a list of classStatement structures. For more information, refer to the class Parameter section in Shared Concepts.
creates a table on the server that contains the summary of the clustering results including the size, neighbor, and mean of each cluster. For more information about specifying the clusterSumOut parameter, see the common casouttable (Form 1) parameter (Appendix A: Common Parameters).
Yes, the "initialvalues" parameter allows you to specify a list of initial values for the parameters to start the optimization process.
The 'table' parameter is required to specify the settings for the input table.
The 'computedOnDemand' subparameter (alias: 'compOnDemand', default: FALSE) in 'modelTable' controls whether computed variables are created when the table is loaded (TRUE) or when the action begins (FALSE).