I asked a question exactly like this a while ago, so I do not know if it is appropriate to ask pretty much the same question with a single tweak.
For the record, my first question is In an N-dimensional space filled with points, systematically find the closest point to a specified point
Now I would like to use spearmans correlation rather than using euclidean distance. (http://en.wikipedia.org/wiki/Spearman%27s_rank_correlation_coefficient)
I tried using my method that I described in my other question with the spearmans correlation. I generated a random list of 10 points and then an extra point to compare with. I did the analysis on this set and I got this data:
Spearmans Correlated Rank: Program rank
which shows that my method will not work at all. Is there a suggested way of going about this with spearmans correlation?