Hi All,
I've been trying to write some logic in Python to correlate two sets of
simple data. For example:
1) set 1 (S1)
apple, 5, 150
apple, 3, 150
orange, 8, 200
orange, 5, 150
2) set 2 (S2)
apple, 8, 200
apple, 5, 150
orange, 8, 100
orange, 3, 150
In the above the following should match up :
S1- row 1 = S2 row 2 (100% match)
S1- row 2 = S2 row 4 (66% match)
S1- row 3 = S2 row 1 (66% match)
S1- row 4 = S2 row 3 (33% match)
I've written logic to do this, but it scales badly on larger sets of
data due to the number of comparisons I need to make.
I confess I'm not familiar with Graph Theory, but I get the general
feeling it may be possible to emulate this type of correlation
functionality.
I'd be very grateful if somebody could give me some initial feedback /
overview if this would be possible - and could igraph help?
Thanks for any feedback. All the best,
Marc
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