Help with PCA analysis
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I have a set of measurements of wrist movements. It contains data about the movements in x,y,z translations and x,y,z rotations - so it has 6 dimensions.
I used:
[coeff,score,~,~,explained,~] = pca(E);
Explained gives me the following result:
[56,0982092469235;
26,0254466244066;
11,3132049655197;
5,01572264188474;
0,929970860888532;
0,617445660376905]
From this I see that 80% of the data is in the first two principle components.
I assume that these 2 principle components form a plane. How do I use coeff to see how this plane is orientated?
Thanks in advance for helping me out!
2 Comments
the cyclist
on 19 Sep 2013
When you say "see how this plane is orientated", do you literally mean a visualization? It's a challenge to show a (2-D) plane embedded in a 6-D space.
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