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From: | Message |
Subject: | [igraph] General correlation between two data sets? |
Date: | Sun, 10 Nov 2013 12:06:58 +0000 |
User-agent: | Mozilla/5.0 (X11; Linux i686; rv:24.0) Gecko/20100101 Thunderbird/24.1.0 |
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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