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The stability of the obtained clusterings was assessed using the silhouette values.
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The optimal number of clusters were estimated using the Silhouette Value (S) [47].
Finally, as in the initial part of this study (see Sequence clustering) we selected a clustering of the full and therapy-naïve sequence sets using the silhouette value and associated a single cluster sequence composition to the CD4+ T-cell counts.
As in the previous part of this study, we used the silhouette value to determine the selected clustering of the full and the therapy-naïve datasets.
In using the silhouette, Walker was appropriating a sentimental form to build a narrative about power.
Right: using the silhouette analysis.
The poses were estimated, and deictic motions were expressed using the silhouette.
The optimal number of clusters was identified by using the Silhouette index.
Thus the ability to efficiently extract target silhouettes and the simplicity of silhouette-based shape representation motivates us to use the silhouette for multi-view target representation.
The silhouette value of a collection of clusters is the average of the silhouette values of its clusters.
The distributions of the silhouette values in each cluster can be viewed in Figure S2.
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