[SciPy-user] Place data on grid to minimise cost function
Wed Nov 21 05:11:17 CST 2007
I have a problem for which I do not know any algorithm to solve it. I'm
wondering if there is something in scipy that will help me. Apologies if
there isn't and this is off-topic.
I have a set of N data points, which I want to place on a k x m grid. I
have a cost function D(x1,x2) that measures how different 2 data points
are. I want to minimise the sum of D over all neighbouring pairs of
points on the grid (i.e. I want similar points to be neighbours on the
A) Is there some established technique to do this?
B) Is it in scipy?
BTW, N = k.m
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