KCA-Algorithm
K-Means Cluster Analysis uses minimum sum of squares to assign observations to groups.
An observation containing one or more missing values will be excluded before K-Means Cluster Analysis.
For a matrix X with n observations by p variables, initial cluster centers can be specified with a K-by-p matrix, or chosen from the matrix X with a predefined number of clusters.