Description Details Author(s) See Also

This dialog is used to specify a hierarchical cluster analysis
solution using `hclust`

, with the distance matrix calculated using
`dist`

.

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.

Dan Putler

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