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To examine whether this cluster consisted of multiple sub-clusters, an iterative cluster procedure was added, sub-clustering the voxels in cluster d (Figure 1d).
We used the SAS Cluster procedure with Ward's method for calculating distances between clusters; one capture site upstream of farms emerged as a clear outlier.
The method used in this phase was a non-hierarchical cluster procedure (K-Means algorithm).
The whole cluster procedure was repeated seven times on the remaining unclustered proteins after each iteration.
At the very least an abbreviated CLUSTER procedure would offer a validation check for the topic-based search.
We carried out the hierarchical cluster procedure with Ward's method, applying squared Euclidian distance followed by k-means clustering.
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After the iterative clustering procedure finished, cluster merging was performed.
Listing 2 shows a pseudocode for the clustering procedure.
Therefore, we clustered the scaffolds for each dataset without repeating the clustering procedure.
The suggested clustering procedure is theoretically illustrated and its effectiveness has been investigated experimentally.
The clustering procedure generated two very convincing groups from the data.
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