1**************************************** PROGRAM MIX1CM ISOPAC FOR CLUSTERING UNIVARIATE DATA (DATA ON THE LINE) DEVELOPED AND PROGRAMMED BY DR. STANLEY L. SCLOVE VERSION 3.4 12-JAN-92 CMS DSN = MIX1CM ISOPAC COPYRIGHT 1991 STANLEY LOUIS SCLOVE. 3 on 2: Starting with 3 groups when there are really 2 clusters N = 40 DATA: 1 1 1 1 1 2 2 2 2 2 2 2 2 2 2 3 3 3 3 3 5 5 5 5 5 6 6 6 6 6 6 6 6 6 6 7 7 7 7 7 MINIMUM OF SAMPLE: 1 MAXIMUM OF SAMPLE: 7 MEAN = 4.0000 M.L. ESTIMATE OF VARIANCE = 4.50000 SSDEVS = 180.0000 MINUS 2 LOG LIKELIHOOD = 173.6782 STDDEV = 2.1213 AIC = 177.6782 KASHYAP CRITERION = 175.8505 1 K = 3 CLUSTERS INITIAL PRIOR PROBS, MEANS AND VARIANCE: 1 0.27 2.00 2 0.46 6.00 3 0.27 10.00 INITIAL VARIANCE = 1.00000 WGSS = 21.6949 MINUS 2 LOG LIKELIHOOD = 75.1858 WGMS = 0.5863 STD.ERROR=SQRT(WGMS) = 0.7657 ITERATION 1 BOUNDARIES: 3.99 9.71 MEANS: 2.00 5.98 6.96 WGSS = 20.0267 MINUS 2 LOG LIKELIHOOD = 92.3453 WGMS = 0.5413 STD.ERROR=SQRT(WGMS) = 0.7357 ITERATION 2 BOUNDARIES: 4.00 10.53 MEANS: 2.00 6.00 6.72 SUMS: 40.00 119.67 0.33 NUMBERS: 20 20 0 VARIANCES: 0.50 0.50 0.24 STD.DEVS.: 0.71 0.71 0.49 M.L. ESTIMATE OF COMMON VARIANCE = 0.50067 NUMBER OF PARAMETERS = 6 AIC = 104.3453 SCHWARZ CRITERION = 114.4786 KASHYAP CRITERION = 115.8609