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VisuCl - Visual Cluster Analysis
Set data for Cluster Analysis
Name of first feature:
Name of second feature:
Object identifiers
(e.g. years, numbers work best):
50; 58; 59; 60; 61; 62; 63; 64; 65; 66; 67; 68; 69; 70; 71; 72; 73; 74; 75; 76; 77; 78; 79; 80; 81; 82; 83; 84; 85; 86; 88; 89; 90; 91; 92; 93; 94; 95; 96
Values of first feature:
3.2; 3.2; 3.2; 3.2; 3.1; 3.2; 3.2; 3.2; 3.3; 3.3; 3.2; 2.9; 2.9; 2.9; 2.8; 2.9; 2.9; 2.9; 2.9; 2.8; 2.9; 2.8; 2.9; 2.9; 2.9; 2.9; 2.9; 2.9; 2.9; 3.0; 2.9; 2.9; 2.9; 2.9; 2.9; 2.9; 2.9; 2.9; 2.9
Values of second feature:
19.25; 19.28; 19.32; 19.27; 19.28; 19.27; 19.24; 19.28; 19.24; 19.26; 19.30; 19.28; 19.29; 19.30; 19.24; 19.24; 19.26; 19.30; 19.29; 19.24; 19.28; 19.27; 19.24; 19.24; 19.25; 19.26; 19.28; 19.28; 19.26; 19.29; 19.27; 19.25; 19.26; 19.27; 19.29; 19.25; 19.24; 19.22; 19.27
minimum number of data vectors:
Scaling factor for proximity dendrogram:
ronni <at> gi <dot> alaska <dot> edu | last changed: March 23, 2008