PMCCPMCCPMCC

Search tips
Search criteria 

Advanced

Logo of wtpaEurope PMCEurope PMC Funders GroupSubmit a Manuscript
 
From:
Eur J Neurosci. Author manuscript; available in PMC 2006 August 31.
Published in final edited form as:
Eur J Neurosci. 2006 August; 24(4): 1124–1136.
doi: 10.1111/j.1460-9568.2006.04988.x

Fig. 9

An external file that holds a picture, illustration, etc.
Object name is nihms11739f9.jpg

PCA and cluster analysis of the recorded cells based on both physiological and morphological properties. (A) Scree plot of the eigenvalues derived from PCA of the 30 variables (12 functional and 18 structural). The first seven factors together accounted for 78.5% of the total variance. (B) Joining tree of agglomerative clustering using the first seven principal component factor scores for each cell (37 cells in total for which all 30 parameters were determined). The individual cells are shown on the x-axis and the normalized maximum Euclidean distances between any two cells are shown on the y-axis. At the bottom, the group membership of each cell is shown based on clustering of either only the physiological or only the morphological parameters. Note the almost perfect matching between the three ways of clustering. (C) Cumulative probability plot of squared Euclidean distances of cells in clusters 1 (solid) and 2 (shaded) from the centre of cluster 1. (D) Cumulative probability plot of squared Euclidean distances of cells in clusters 1 (solid) and 2 (shaded) from the centre of cluster 2. The distributions in both panels C and D are significantly different from each other (Mann–Whitney, P < 0.001). σ2, variance; Dlink, linkage distance; Dmax, maximum linkage distance.

Images in this article

  • Fig. 1
  • Fig. 2
  • Fig. 3
  • Fig. 4
  • Fig. 5
  • Fig. 6
  • Fig. 7
  • Fig. 8
  • Fig. 9
Click on the image to see a larger version.