Gives the Cubic Clustering Criterion (CCC) for the entire range of number of clusters. The CCC is used to estimate the number of clusters. It can be used with any distance-based clustering algorithm. Larger values of the CCC indicate better fit in terms of number of clusters. See SAS Institute Inc. (1983). (Not available when Data is distance matrix is selected.)

Adds a color map for specified columns. (Not available when Data as summarized, Data is distance matrix, or Data is stacked is selected.)

To turn off the labels on the endpoints, right-click inside the Constellation Plot and deselect Show Labels.

Saves the coordinates of the constellation plot to the data table. (Not available when Data as summarized, Data is distance matrix, or Data is stacked is selected.)

Creates a data table column that contains a formula for the closest cluster. This option calculates the squared Euclidean distance to each cluster’s centroid and selects the cluster that is closest. Note that this formula does not always reproduce the cluster assignment given by Hierarchical Clustering since the clusters are determined differently. However, the cluster assignment is very similar. (Not available when Data as summarized, Data is distance matrix, or Data is stacked is selected.)

(Not available when Data is distance matrix is selected.) Displays the following information:

The plot is a parallel plot unless Data is stacked is selected and there are two Attribute ID variables. For the parallel plot, the axis for each variable is scaled as follows:

When Data is stacked is selected and there are two Attribute ID variables, two-dimensional plots of the mean of the Y variable at each location are shown for each cluster. These plots are colored using a Blue to Gray to Red color gradient.

Creates a scatterplot matrix using all the variables. (Not available when Data as summarized, Data is distance matrix, or Data is stacked is selected.)

Creates a parallel coordinate plot for each cluster. (Not available when Data as summarized, Data is distance matrix, or Data is stacked is selected.) The axes are scaled as described for the Cluster Means Plot. See Cluster Means Plot.

See Local Data Filter, Redo Menus, and Save Script Menus in the Using JMP book for more information about the following options: