[SciPy-User] Weighted KDE
Mon Jan 14 10:08:23 CST 2013
> I am facing the same problem as well, but can't figure out how the weighting
> should be done exactly.
> Has anybody successfully completed the modification of the code to allow a
> weighted kde? I am attempting to perform kde on a set of imaging data with X, Y,
> and an additional "temperature" column.
> Performing the kde on only the X,Y axes gives a working heatmap showing the
> spatial distribution of the data points, but I would also like to use them to
> see the "temperature" profile (the third axis), much like a geographical heatmap
> showing temperature or rainfall values over a X-Y map.
> I found another set of code from
> which allows weighted kde, but when I tried it out with my data, it took much
> longer than the normal kde (>1 hour) when the original code took only a about
> twenty seconds (despite claims that it was faster).
Here's a modification of the scipy KDE code that I made to perform weighting, as per the earlier discussion. No guarantees as to correctness, but it seems to be right-ish?
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