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Figure 2 | BMC Research Notes

Figure 2

From: An efficient clustering algorithm for partitioning Y-short tandem repeats data

Figure 2

The dominant attributes form centroid 1 ( a 1 , a 2 , c 3 ) , centroid 2 ( a 1 , a 2 , c 3 ) and centroid 3 ( b 1 , c 2 , d 3 ). In this case, there are possibilities that each cluster is formed by the dominant attributes, e.g. attribute a 1 , a 2 and c3.This scenario of non-unique centroids would result in empty clusters; otherwise the centroids would lead to local a minima problem and produce poorer clustering results.

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