Figure 2
From: An efficient clustering algorithm for partitioning Y-short tandem repeats data
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.