Visualize (job stuff)
by at 8:46 PM

Sure looks cool, though, doesn't it?
Doing it was vitally important to actually understand how to go about solving a problem (and it also served as a framework for implementing the solution). It's amazing how crappy the state of data visualization software is; it was quicker for me to whip this up in OpenGL than it would have been to try to find something useful for visualizing extremely complex 8-dimensional data with a lot of non-obvious correlations.
Comments
It's like a inkblot test for geeks... You should fool around with it a little, pump in different data and see if you come out with anything that looks cool.
Then assign them numbers... I mean, we're not going for hard science here... Just give that axis a basic unit value.
We have just exceeded what I remember about data manipulation. Why can't it handle that? Are the units non-scalable? (like x=single units, y=decimal values, z=zillions)
The displacement relates to a spatial distortion which has to do with the clustering algorithm I'm developing (and as far as I know it's unique and possibly patentable so I'm not going to give away anything more about it), and the circles represent the clusters it's found (with concentric rings representing variance, standard deviation, and upper-bound radius).
Sorry, I didn't notice this post earlier. What you were asking was like making cat=1 dog=2 emu=3. So then cat+dog=emu.