August 20 2006 8:22:22.312 AM PLOT_POINTS Given a file of 2D points, make a dot plot, and a Delaunay triangulation plot. Enter command (H for help): # Input file for plot_points # # DATA_READ Read point data from "test01_clusters.txt". Points are assumed to have dimension 3 POINTS_COUNT: Number of records: 121 Number of point records: 105 Number of comment records: 11 Number of bad records: 5 POINTS_READ: Read coordinate data from file. Coord Min Max 1 0.0001 0.9972 2 0.0063 0.9898 3 1.0000 5.0000 DATA_READ The data has been read. Enter command (H for help): Next output file is test01_clusters.eps Enter command (H for help): TITLE: "Cluster plot of TEST01_CLUSTERS.TXT" Enter command (H for help): Create a K-Means plot "test01_clusters.eps". Plot Plot Coord Min Max 1 -0.0497 1.0470 2 -0.0429 1.0390 Enter command (H for help): # DATA_READ Read point data from "test02_clusters.txt". Points are assumed to have dimension 3 POINTS_COUNT: Number of records: 121 Number of point records: 105 Number of comment records: 11 Number of bad records: 5 POINTS_READ: Read coordinate data from file. Coord Min Max 1 0.0001 0.9972 2 0.0063 0.9898 3 1.0000 5.0000 DATA_READ The data has been read. Enter command (H for help): Next output file is test02_clusters.eps Enter command (H for help): TITLE: "Cluster plot of TEST02_CLUSTERS.TXT" Enter command (H for help): Create a K-Means plot "test02_clusters.eps". Plot Plot Coord Min Max 1 -0.0497 1.0470 2 -0.0429 1.0390 Enter command (H for help): # DATA_READ Read point data from "test03_clusters.txt". Points are assumed to have dimension 3 POINTS_COUNT: Number of records: 121 Number of point records: 105 Number of comment records: 11 Number of bad records: 5 POINTS_READ: Read coordinate data from file. Coord Min Max 1 0.0001 0.9972 2 0.0063 0.9898 3 1.0000 5.0000 DATA_READ The data has been read. Enter command (H for help): Next output file is test03_clusters.eps Enter command (H for help): TITLE: "Cluster plot of TEST03_CLUSTERS.TXT" Enter command (H for help): Create a K-Means plot "test03_clusters.eps". Plot Plot Coord Min Max 1 -0.0497 1.0470 2 -0.0429 1.0390 Enter command (H for help): # DATA_READ Read point data from "test04_clusters.txt". Points are assumed to have dimension 3 POINTS_COUNT: Number of records: 121 Number of point records: 105 Number of comment records: 11 Number of bad records: 5 POINTS_READ: Read coordinate data from file. Coord Min Max 1 0.0001 0.9972 2 0.0063 0.9898 3 1.0000 5.0000 DATA_READ The data has been read. Enter command (H for help): Next output file is test04_clusters.eps Enter command (H for help): TITLE: "Cluster plot of TEST04_CLUSTERS.TXT" Enter command (H for help): Create a K-Means plot "test04_clusters.eps". Plot Plot Coord Min Max 1 -0.0497 1.0470 2 -0.0429 1.0390 Enter command (H for help): # DATA_READ Read point data from "test05_clusters.txt". Points are assumed to have dimension 3 POINTS_COUNT: Number of records: 121 Number of point records: 105 Number of comment records: 11 Number of bad records: 5 POINTS_READ: Read coordinate data from file. Coord Min Max 1 0.0001 0.9972 2 0.0063 0.9898 3 1.0000 5.0000 DATA_READ The data has been read. Enter command (H for help): Next output file is test05_clusters.eps Enter command (H for help): TITLE: "Cluster plot of TEST05_CLUSTERS.TXT" Enter command (H for help): Create a K-Means plot "test05_clusters.eps". Plot Plot Coord Min Max 1 -0.0497 1.0470 2 -0.0429 1.0390 Enter command (H for help): # DATA_READ Read point data from "test06_clusters.txt". Points are assumed to have dimension 3 POINTS_COUNT: Number of records: 121 Number of point records: 105 Number of comment records: 11 Number of bad records: 5 POINTS_READ: Read coordinate data from file. Coord Min Max 1 0.0001 0.9972 2 0.0063 0.9898 3 1.0000 5.0000 DATA_READ The data has been read. Enter command (H for help): Next output file is test06_clusters.eps Enter command (H for help): TITLE: "Cluster plot of TEST06_CLUSTERS.TXT" Enter command (H for help): Create a K-Means plot "test06_clusters.eps". Plot Plot Coord Min Max 1 -0.0497 1.0470 2 -0.0429 1.0390 Enter command (H for help): # DATA_READ Read point data from "test07_clusters.txt". Points are assumed to have dimension 3 POINTS_COUNT: Number of records: 121 Number of point records: 105 Number of comment records: 11 Number of bad records: 5 POINTS_READ: Read coordinate data from file. Coord Min Max 1 0.0001 0.9972 2 0.0063 0.9898 3 1.0000 5.0000 DATA_READ The data has been read. Enter command (H for help): Next output file is test07_clusters.eps Enter command (H for help): TITLE: "Cluster plot of TEST07_CLUSTERS.TXT" Enter command (H for help): Create a K-Means plot "test07_clusters.eps". Plot Plot Coord Min Max 1 -0.0497 1.0470 2 -0.0429 1.0390 Enter command (H for help): # DATA_READ Read point data from "test08_clusters.txt". Points are assumed to have dimension 3 POINTS_COUNT: Number of records: 121 Number of point records: 105 Number of comment records: 11 Number of bad records: 5 POINTS_READ: Read coordinate data from file. Coord Min Max 1 0.0001 0.9972 2 0.0063 0.9898 3 1.0000 5.0000 DATA_READ The data has been read. Enter command (H for help): Next output file is test08_clusters.eps Enter command (H for help): TITLE: "Cluster plot of TEST08_CLUSTERS.TXT" Enter command (H for help): Create a K-Means plot "test08_clusters.eps". Plot Plot Coord Min Max 1 -0.0497 1.0470 2 -0.0429 1.0390 Enter command (H for help): # DATA_READ Read point data from "test09_clusters_equal.txt". Points are assumed to have dimension 3 POINTS_COUNT: Number of records: 121 Number of point records: 105 Number of comment records: 11 Number of bad records: 5 POINTS_READ: Read coordinate data from file. Coord Min Max 1 0.0001 0.9972 2 0.0063 0.9898 3 1.0000 5.0000 DATA_READ The data has been read. Enter command (H for help): Next output file is test09_clusters_equal.eps Enter command (H for help): TITLE: "Cluster plot of TEST09_CLUSTERS_EQUAL.TXT" Enter command (H for help): Create a K-Means plot "test09_clusters_equal.eps". Plot Plot Coord Min Max 1 -0.0497 1.0470 2 -0.0429 1.0390 Enter command (H for help): # DATA_READ Read point data from "test09_clusters_unequal.txt". Points are assumed to have dimension 3 POINTS_COUNT: Number of records: 121 Number of point records: 105 Number of comment records: 11 Number of bad records: 5 POINTS_READ: Read coordinate data from file. Coord Min Max 1 0.0001 0.9972 2 0.0063 0.9898 3 1.0000 5.0000 DATA_READ The data has been read. Enter command (H for help): Next output file is test09_clusters_unequal.eps Enter command (H for help): TITLE: "Cluster plot of TEST09_CLUSTERS_UNEQUAL.TXT" Enter command (H for help): Create a K-Means plot "test09_clusters_unequal.eps". Plot Plot Coord Min Max 1 -0.0497 1.0470 2 -0.0429 1.0390 Enter command (H for help): # DATA_READ Read point data from "test10_clusters_equal.txt". Points are assumed to have dimension 3 POINTS_COUNT: Number of records: 121 Number of point records: 105 Number of comment records: 11 Number of bad records: 5 POINTS_READ: Read coordinate data from file. Coord Min Max 1 0.0001 0.9972 2 0.0063 0.9898 3 1.0000 5.0000 DATA_READ The data has been read. Enter command (H for help): Next output file is test10_clusters_equal.eps Enter command (H for help): TITLE: "Cluster plot of TEST10_CLUSTERS_EQUAL.TXT" Enter command (H for help): Create a K-Means plot "test10_clusters_equal.eps". Plot Plot Coord Min Max 1 -0.0497 1.0470 2 -0.0429 1.0390 Enter command (H for help): # DATA_READ Read point data from "test10_clusters_unequal.txt". Points are assumed to have dimension 3 POINTS_COUNT: Number of records: 121 Number of point records: 105 Number of comment records: 11 Number of bad records: 5 POINTS_READ: Read coordinate data from file. Coord Min Max 1 0.0001 0.9972 2 0.0063 0.9898 3 1.0000 5.0000 DATA_READ The data has been read. Enter command (H for help): Next output file is test10_clusters_unequal.eps Enter command (H for help): TITLE: "Cluster plot of TEST10_CLUSTERS_UNEQUAL.TXT" Enter command (H for help): Create a K-Means plot "test10_clusters_unequal.eps". Plot Plot Coord Min Max 1 -0.0497 1.0470 2 -0.0429 1.0390 Enter command (H for help): # DATA_READ Read point data from "test11_clusters_equal.txt". Points are assumed to have dimension 3 POINTS_COUNT: Number of records: 121 Number of point records: 105 Number of comment records: 11 Number of bad records: 5 POINTS_READ: Read coordinate data from file. Coord Min Max 1 0.0001 0.9972 2 0.0063 0.9898 3 1.0000 5.0000 DATA_READ The data has been read. Enter command (H for help): Next output file is test11_clusters_equal.eps Enter command (H for help): TITLE: "Cluster plot of TEST11_CLUSTERS_EQUAL.TXT" Enter command (H for help): Create a K-Means plot "test11_clusters_equal.eps". Plot Plot Coord Min Max 1 -0.0497 1.0470 2 -0.0429 1.0390 Enter command (H for help): # DATA_READ Read point data from "test11_clusters_unequal.txt". Points are assumed to have dimension 3 POINTS_COUNT: Number of records: 121 Number of point records: 105 Number of comment records: 11 Number of bad records: 5 POINTS_READ: Read coordinate data from file. Coord Min Max 1 0.0001 0.9972 2 0.0063 0.9898 3 1.0000 5.0000 DATA_READ The data has been read. Enter command (H for help): Next output file is test11_clusters_unequal.eps Enter command (H for help): TITLE: "Cluster plot of TEST11_CLUSTERS_UNEQUAL.TXT" Enter command (H for help): Create a K-Means plot "test11_clusters_unequal.eps". Plot Plot Coord Min Max 1 -0.0497 1.0470 2 -0.0429 1.0390 Enter command (H for help): # DATA_READ Read point data from "test12_clusters_equal.txt". Points are assumed to have dimension 3 POINTS_COUNT: Number of records: 121 Number of point records: 105 Number of comment records: 11 Number of bad records: 5 POINTS_READ: Read coordinate data from file. Coord Min Max 1 0.0001 0.9972 2 0.0063 0.9898 3 1.0000 5.0000 DATA_READ The data has been read. Enter command (H for help): Next output file is test12_clusters_equal.eps Enter command (H for help): TITLE: "Cluster plot of TEST12_CLUSTERS_EQUAL.TXT" Enter command (H for help): Create a K-Means plot "test12_clusters_equal.eps". Plot Plot Coord Min Max 1 -0.0497 1.0470 2 -0.0429 1.0390 Enter command (H for help): # DATA_READ Read point data from "test12_clusters_unequal.txt". Points are assumed to have dimension 3 POINTS_COUNT: Number of records: 121 Number of point records: 105 Number of comment records: 11 Number of bad records: 5 POINTS_READ: Read coordinate data from file. Coord Min Max 1 0.0001 0.9972 2 0.0063 0.9898 3 1.0000 5.0000 DATA_READ The data has been read. Enter command (H for help): Next output file is test12_clusters_unequal.eps Enter command (H for help): TITLE: "Cluster plot of TEST12_CLUSTERS_UNEQUAL.TXT" Enter command (H for help): Create a K-Means plot "test12_clusters_unequal.eps". Plot Plot Coord Min Max 1 -0.0497 1.0470 2 -0.0429 1.0390 Enter command (H for help): # PLOT_POINTS Normal end of execution. August 20 2006 8:22:22.654 AM