PDF version of this entire document

next up previous
Next: Results Up: Normalisation Experiments: Planning, Deployment, Previous: Normalisation Experiments: Planning, Deployment,

Outline of Experiments

S everal experiments that fall under the same theme have already been run. They are summarised in a weekly progress1. Below we have listed a list of experiments whose educational value justifies systematic variation of one parameter or another.

  1. Varying $\vert\cdot\vert$: Does one get the same behaviour when changing from a Euclidean distance to a shuffle distance? If the variation as function of set size is linear (i.e. we get a straight line as before), does it have the expected slope? Do we even get a straight line at all?
  2. Using the first and second nearest neighbour distances. Does one still get a straight line? We could look at the mean of the first and second nearest neighbour distances separately. Do we get a straight line for one but not the other as you vary $n$? We can then repeat the experiments using shuffle rather than Euclidean distance.
  3. Now try the effect of varying the dimensionality. Stick to the same sort of generating distributions, and see if you can the straight-line behaviour for higher $d$ as well.
  4. Try with some non-Gaussian distributions. I mean some sort of bent banana-shaped scatter, rather than anything like a flat distribution.


next up previous
Next: Results Up: Normalisation Experiments: Planning, Deployment, Previous: Normalisation Experiments: Planning, Deployment,
Roy Schestowitz 2007-03-11