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. Author manuscript; available in PMC: 2011 Apr 6.
Published in final edited form as: J Neurosci. 2010 Oct 6;30(40):13396–13408. doi: 10.1523/JNEUROSCI.0338-10.2010

Figure 1. Multivariate analyses of the retrograde labeling data in Tables 1 and 2.

Figure 1

A. Silhouette plot of the results of the kmeans clustering algorithm, which grouped the eleven cases into three clusters plus one singleton ‘cluster’. The length of each bar indicates the similarity between that case and the remaining points in the cluster. The case number is indicated at the right of each bar. The symbols and numbers on the left side of the graph correspond to those used in subsequent plots. B. Biplot of the scores (symbols) and coefficients (arrows) for the first and second principal components. Each case is indicated by the same symbol/number used in the silhouette plot above. The principal component coefficients/arrows are labeled with the corresponding structure name. Many of the 24 coefficients were too small to be shown on the plot. C. Biplot of scores and coefficients for the third and second principal components. Inset: Enlarged view of data points near the center of the plot.