SPSS® 12.0 Command Syntax Reference

238 CLUSTER
ID Subcommand
ID names a string variable to be used as the case identifier in cluster membership tables, icicle
plots, and dendrograms. If the ID subcommand is omitted, cases are identified by case numbers
alone.
• When used with the MATRIX IN subcommand, the variable specified on the ID subcommand
identifies the labeling variable in the matrix file.
PRINT Subcommand
PRINT controls the display of cluster output (except plots, which are controlled by the PLOT
subcommand).
• If the PRINT subcommand is omitted or included without specifications, an
agglomeration schedule is displayed. If any keywords are specified on PRINT, the
agglomeration schedule is displayed only if explicitly requested.
• CLUSTER automatically displays summary information (the method and measure used, the
number of cases) for each method named on the METHOD subcommand. This summary is
displayed regardless of specifications on PRINT.
You can specify any or all of the following on the PRINT subcommand:
SCHEDULE Agglomeration schedule. The agglomeration schedule shows the order
and distances at which items and clusters combine to form new
clusters. It also shows the cluster level at which an item joins a cluster.
SCHEDULE is the default and can also be requested with keyword
DEFAULT.
CLUSTER(min,max) Cluster membership. For each item, the display includes the value of
the case identifier (or the variable name if matrix input is used), the
case sequence number, and a value (1, 2, 3, and so on) identifying the
cluster to which that case belongs in a given cluster solution. Specify
either a single integer value in parentheses indicating the level of a
single solution or a minimum value and a maximum value indicating
a range of solutions for which display is desired. If the number of
clusters specified exceeds the number produced, the largest number of
clusters is used (the number of items minus 1). If CLUSTER is
specified more than once, the last specification is used.
DISTANCE Proximities matrix. The proximities matrix table displays the distances
or similarities between items computed by CLUSTER or obtained from
an input matrix. DISTANCE produces a large volume of output and uses
significant CPU time when the number of cases is large.
NONE None of the above. NONE overrides any other keywords specified on
PRINT.
Example
CLUSTER V1 V2 V3 /PRINT=CLUSTER(3,5).