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. Author manuscript; available in PMC: 2009 Aug 15.
Published in final edited form as: Neuroimage. 2008 May 7;42(2):675–682. doi: 10.1016/j.neuroimage.2008.04.255

Figure 1.

Figure 1

A comparison between the results obtained with PCA, DPCA, and FLD for a two dimensional simulation example. The results with different separation between the two groups are shown. Figure 1A: When the means of the two groups are close together, then projecting the data on PCA (solid) line would only merge the two classes. Projecting on DPCA (dash-dot-dash) and on FLD (Dash-dash) would separate the two groups. Figure 1B: Here projecting on PCA won’t work while DPCA result is good for separation but it is inferior to the FLD result for purposes of separation. Figure 1C: When the means are far apart then PCA result overlaps with DPCA choice and the two are similar to the FLD result.