Tools for Quantitative Archaeology
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Tools for Quantitative Archaeology |
CLCA: Complete Linkage Cluster Analysis
This simple, complete linkage cluster analysis program will cluster up to 250 cases. It takes as input an upper triangular distance matrix, such as is created by the DIST program, and optional observation labels. As output, it lists the sequence of item/cluster joins and fusion values. It also prints a quasi-graphical version of the dendrogram with fusion values; you'll have to draw the lines of the tree yourself, referring if necessary to the fusion listing. If you're serious about cluster analyzing data, you will likely want to use other algorithms, such as k-means (provided in this package), average linkage, centroid linkage, or Ward's method.
To run CLCA simply type: CLCA<Enter>
SAMPLE PROGRAM OUTPUT
CLCA run on euclidean distance matrix (percents) shown in the documentation for the DIST program.
Cluster (Object) Fusion Sequence
Merging H13:P01 & H16:M02 Distance = 0.082
Merging H13:M01 & H13:R01 Distance = 0.085
Merging H15:M01 & H17:M03 Distance = 0.097
Merging H12:M01 & H13:P01 Distance = 0.103
Merging H13:M03 & H15:M01 Distance = 0.129
Merging H12:M01 & H13:M01 Distance = 0.149
Merging H13:GK3 & H17:R01 Distance = 0.200
Merging H13:GK1 & H13:M03 Distance = 0.240
Merging H13:M02 & H13:M04 Distance = 0.241
Merging H13:GK3 & H16:R01 Distance = 0.275
Merging H12:M01 & H13:GK3 Distance = 0.307
Merging H13:GK1 & H13:M02 Distance = 0.353
Merging H13:GK2 & H15:R01 Distance = 0.431
Merging H12:M01 & H13:GK1 Distance = 0.493
Merging H12:M01 & H15:U01 Distance = 0.702
Merging H12:M01 & H13:GK2 Distance = 0.868
Final Configuration
H12:M01
0.103
H13:P01
0.082
H16:M02
0.149
H13:M01
0.085
H13:R01
0.307
H13:GK3
0.200
H17:R01
0.275
H16:R01
0.493
H13:GK1
0.240
H13:M03
0.129
H15:M01
0.097
H17:M03
0.353
H13:M02
0.241
H13:M04
0.702
H15:U01
0.868
H13:GK2
0.431
H15:R01
Program End
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Page Last Updated - 21-Jul-2007