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
Page Last Updated - 21-Jul-2007