A data scientist runs PROC HPCLUS in SAS to perform k-means clustering on customer data. Which option specifies the maximum number of iterations for the algorithm to converge?
Select an answer to reveal the explanation.
Short Explanation
Here's the deal — you use MAXITER= because it caps the number of iterations PROC HPCLUS performs before stopping, even if convergence has not been reached. The convergence criterion option only sets the tolerance for stopping, not the iteration limit.
Full Explanation
MAXITER= in PROC HPCLUS specifies the maximum number of iterations the k-means algorithm performs before stopping, even if convergence has not been reached. The CONVERGE= option specifies the convergence criterion, or tolerance, for stopping, not the maximum number of iterations. The MAXCLUSTERS= option is used with PROC HPCLUS cluster count selection methods, not the iteration limit. The ITERATIONS= option in the PROC statement is wrong because the correct option name is MAXITER=, not ITERATIONS=.