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Creates a data density plot of a 2 dimensional data distribution.
Shows the data density of a 2 dimensional distribution.
The problem of showing data density visually is not mathematically well defined, and there are several methods. The program uses sum of reciprocal squared distance to calculate density at each point, with a smear factor to prevent points going to infinity. The smear factor also controls the amount of clustering.
There are several options for colour output. Input is via a csv (comma-separated values) file.
Now there's a nice GUI...
Worst Cases is a python script that enables calculations on worst case objects. Like a calculator operating on worst cases (e.g. [1,2,3]) rather than on real numbers (2.35) WARNING: This program is released as is, and has never been extensively teste