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. 2010 Sep 1;104(5):2900–2912. doi: 10.1152/jn.01082.2009

Fig. 4.

Fig. 4.

A: clustering of 1,000 randomly selected events (across all patients) passing through stage 2, in the 3-dimensional space defined by 1, 2, and 3. Each of the 4 clusters found by the algorithm is colored uniquely. B: the points on the left projected onto all possible pairs of principal components; axes are scaled to enable better visualization of cluster boundaries, so a small number of outlying points are not visible.