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- 1$\begingroup$ What kind of data is it, what are you trying to optimize, how big is it, etc.? $\endgroup$Emre– Emre2016-01-21 03:31:12 +00:00Commented Jan 21, 2016 at 3:31
- $\begingroup$ It's basically the 0.0-1.0 similarity between every sample in a data set. The x and y axes have the ID of every sample in the same order so it ends up being a symmetrical matrix. I still feel like there's got to be a better way. $\endgroup$Austin Capobianco– Austin Capobianco2016-01-22 22:38:47 +00:00Commented Jan 22, 2016 at 22:38
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