This dialog is used to specify a hierarchical cluster analysis
solution using hclust, with the distance matrix calculated using
dist.
Dan Putler
Enter a name for the hierarchical clustering solution to be created if you want to retain more than one solution. The solution name must be a valid R object name (consisting only of upper- and lower-case letters, numerials, and periods, and not starting with a number).
Select the variables to be included in the solution using the variable selection box on the left side of the dialog box. A non-contiguous set of variables can be selected by pressing your control key (ctrl) while selecting variables.
Specifying a subset expression (the field below the variable selection box)
allows you to obtain a clustering solution for a subset of observations in
the active data set. For example, assuming that gener is a variable in the
active data set, entering gender == "Male" would restrict the
solution to males.
Select a clustering method and a distance measure if you are working with raw data. There is often a relationship between the selection of these two items. For example, squared-euclidian distance is appropriate for Ward's method of cluster analysis. If your data is a distance matrix, then select "No Transformation" as the distance measure.
The "Plot Dendrogram" option results in the dendrogram of the solution
being display by using the plot function.