"The Currier languages revisited" revisited

[kckluge]

Potentially dumb question but how would PCA look like in 3 dimensions?
Do we get any additional resolution of clusters compared to the usual 2D projection?

It's not a dumb question at all, it's just been a while since I last used GnuPlot's "splot" command. If anyone else wants to take a shot, I've attached data files for the 1st 3 PCA features with labels (53.7% of total covariance) and without labels (56.7% of total covariance) included. f116v is left out because the only text line in the transcription is

<f116v.1,@Lx>    oror.sheey <!valsch vbren so nim gaf mich o>

and that results in the data point having a massively outlying value for the 2nd (and it looks like 3rd) coordinate:

8 f116v__STR_3  -0.0283306258  +0.1906012118  +0.1632490594

Here's a side view of the point cloud for the no labels data: