PROC FASTCLUS
<MAXCLUSTERS=n> <RADIUS=t> <options> ;
The PROC FASTCLUS statement invokes the FASTCLUS procedure. You must specify the MAXCLUSTERS= option or RADIUS= option or both in the PROC FASTCLUS statement.
You can specify the following options in the PROC FASTCLUS statement. Table 36.1 summarizes the options available in the PROC FASTCLUS statement.
Table 36.1: PROC FASTCLUS Statement Options
Option 
Description 

Specify input and output data sets 

Specifies input data set 

Specifies input SAS data set previously created by the OUTSTAT= option 

Specifies input SAS data set for selecting initial cluster seeds 

Specifies divisor for variances 

Output Data Processing 

Specifies name for cluster membership variable in OUTSEED= and OUT= data sets 

Specifies label for cluster membership variable in OUTSEED= and OUT= data sets 

Specifies output SAS data set containing original data and cluster assignments 

Specifies writing to OUTSEED= data set on every iteration 

Specifies output SAS data set containing cluster centers 

Specifies output SAS data set containing statistics 

Initial Clusters 

Permits cluster to seeds to drift during initialization 

Specifies maximum number of clusters 

Specifies minimum distance for selecting new seeds 

Specifies seed to initializes pseudorandom number generator 

Specifies seed replacement method 

Clustering Methods 

Specifies convergence criterion 

Deletes cluster seeds with few observations 

Optimizes an criterion, where 

Specifies maximum number of iterations 

Prevents an observation from being assigned to a cluster if its distance to the nearest cluster seed is large 

Arcane Algorithmic Options 

Specifies number of bins used for computing medians for LEAST=1 

Specifies criterion for updating the homotopy parameter 

Specifies initial value of the homotopy parameter 

Uses an iteratively reweighted least squares method instead of the modified EkblomNewton method for 1 < p < 2 

Missing Values 

Imputes missing values after final cluster assignment 

Excludes observations with missing values 

Control Displayed Output 

Displays distances between cluster centers 

Displays cluster assignments for all observations 

Suppresses displayed output 

Suppresses display of large matrices 

Suppresses display of all results except for the cluster summary 

Suppresses warning in output 
The following list provides details on these options. The list is in alphabetical order.