Cluster Analysis Results

The Cluster AnalysisResults dialog box is displayed after a final clustering solution has been determined. The name of this dialog box is either k-Means Results, EM Results, or Tree Clustering Results, according to the algorithm selected in the Cluster Analysis dialog box. The Results dialog box contains options to review the details of the final solution in diagnostic results tables and graphs, to create a data file with cluster assignments for further analyses, and for saving deployment information for the final cluster solution in Statistica Visual Basic, C/C++, C#, PMML script, or to Statistica Enterprise. For more details regarding the various results options, see also the Introductory Overview.

Summary. Click this button to produce the summary statistics for the respective algorithm’s analysis. These values will be identical to the values displayed in the Summary box located at the top of the Generalized Cluster Analysis results dialog box.

Cancel
Click this button to return to the Cluster Analysis dialog box.

Options. Click this button to display the Options menu.

By Group
 Click this button to display the By Group specification dialog box.
Sample
If a Sample Identifier Variable is specified in the Cross-Validation dialog box, you can select to display various results statistics for the Analysis sample only, the Test set sample, or both (All samples).
Code generator
If your program is licensed to include this feature, you can generate computer code to implement the current model for predicting new observations. When you click this button, you have three choices:
Statistica Visual Basic (SVB)
Select this command to generate a Statistica Visual Basic program containing the code implementing the model. This code will be generated in a form compatible with the nodes of Statistica Data Miner; however, you can also simply copy/paste the relevant portion of this code to include it in your custom Visual Basic programs. The code will automatically be displayed in the Statistica Visual Basic program editor window.
C/C++/C# language
Select this command to generate code compatible with C/C++/C# computer language. This option is useful if you want to include the information provided by the final model into custom (C/C++/C#) programs. (See also, Using C/C++/C# Code for Deployment.)
PMML script
This command will generate code in Predictive Model Markup Language (PMML) which is an XML-based language for storing information about fully trained (parameterized) models and for sharing those models with other applications. Statistica and Statistica Enterprise Server contain facilities to use this information to compute predicted values or classifications, i.e., to quickly and efficiently deploy models (typically in the context of data mining projects).
Deployment to Statistica Enterprise
Select this command to deploy the results as an Analysis Configuration in Statistica Enterprise. Note that appropriately formatted data must be available in a Statistica Enterprise Data Configuration before the results can be deployed to an Analysis Configuration.