Quick start:

- extract files to directory (which You probably did already),
- start R
- cd to target directory (setwd),
- on prompt type> source("embed_acidose.r")

A scatter plot display should have appeared.
11-dimensional data points, 20 of which, are embedded in 2D.

Redo embed_acidose for some times to get best solution.

The best solution has got maximum r; for acidose data r ~ 0.943.

Further actions:
- Uncomment in hitmds.r line: plot(Y[1,],Y[2,],'p')
- In embed_acidose play around with parameters and data similarity measure.


Good luck
Marc Strickert

(stricker@ipk-gatersleben.de)
(Tue Jun  5 15:44:35    2007)

* last modification: new: linear learning rate decay after 1/2 max_iter
// EOF