The
CLUST_WTS function computes the
weights (the cluster centers) of an *
m*
-column, *
n*
-row array, where *
m*
is the number of variables and *
n*
is the number of observations or samples. The result is an *
m*
-column, N_CLUSTERS-row array of cluster centers.

Set this keyword equal to the number of cluster centers. The default is to compute *
n*
cluster centers.

Set this keyword equal to the number of iterations used when in computing the cluster centers. The default is to use 20 iterations.

Set this keyword equal to an *
m*
-element vector of floating-point variable weights. The elements of this vector are used to give greater or lesser importance to each variable (each column) in determining the cluster centers. The default is to give all variables equal weighting using a value of 1.0.