Workspace Node: SANN Clustering - Results - Predictions (Kohonen) Tab

In the SANN Clustering node dialog box, under the Results heading, select the Predictions (Kohonen) tab to access the following options.

Element Name Description
Predictions spreadsheet Use the options in this group box to configure and produce the predictions spreadsheet. The variables and cases contained in the spreadsheet are dependent on selections made in the Include group box (see below) and the Samples group box (located on the Results - Samples tab).
Include Use the options in this group box to (optionally) include additional information in the predictions spreadsheet.
Inputs Select this check box to include the input variables in the Predictions spreadsheet.
Winning neuron position Select this check box to include the winning neuron position in the Predictions spreadsheet.
Winning neuron activation Select this check box to include the winning neuron activations in the Predictions spreadsheet. The activation of a neuron is the Euclidean distance between the input and weight vectors of the neuron. This check box is selected by default.
Variables Select this check box to include an arbitrary selection of variables from the data set in the Predictions spreadsheet. If you click the Predictions button when this check box is selected, a variable selection dialog box will be displayed, enabling you to select the variables to include in the spreadsheet. Note that this check box is only enabled if there are variables in the data set that have not been used in the analysis.
Predictions Select this check box to create the predictions spreadsheet for each active model. The precise details shown in the spreadsheet are controlled by the options selected in the Include group box and selections made in the Samples group box (located on the Results - Samples tab).
Weights Select this check box to create a spreadsheet of weights for each model.
Data statistics Select this check box to create a spreadsheet containing the mean, standard deviation, minimum value and maximum value for each variable in the analysis. These data statistics will be broken down by each sample (training, testing, and validation) and also reported for the overall data set.
Single predictions Use the options in this group box to view the activations for a single data case.
Datacase Enter a number in this box to specify a case from the data set. The case is fed as input to the network.
Activations Select the Activations check box adjacent to the spreadsheet icon to generate a results spreadsheet of activations for the currently selected case.
Activations Select the Activations check box adjacent to the graph icon to plot a bivariate histogram of the activations for the currently selected case.
Frequencies Select the Frequencies check box adjacent to the graph icon to plot a bivariate histogram of topological frequencies for each active model. Note that the cases used in the bivariate histogram are determined by selections in the Samples group box (located on the Results - Samples tab).
Frequency Select the Frequency check box adjacent to the spreadsheet icon to produce a spreadsheet of topological frequencies for the active models. The results in the spreadsheet can be broken down by samples (or combinations of samples) using the options in the Samples group box (located on the Results - Samples tab).
Summary Select this check box to generate a spreadsheet containing the summary details.

Options / C / W. See Common Options.

OK Click the OK button to accept all the specifications made in the dialog box and to close it. The analysis results will be placed in the Reporting Documents node after running (updating) the project.