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Jan 22, 2016 at 22:38 comment added Austin Capobianco 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.
Jan 22, 2016 at 19:17 answer added Laurent Duval timeline score: 1
Jan 22, 2016 at 14:43 vote accept Austin Capobianco
Jan 22, 2016 at 8:48 answer added K3---rnc timeline score: 2
Jan 21, 2016 at 9:39 answer added Kasra Manshaei timeline score: 2
Jan 21, 2016 at 3:31 comment added Emre What kind of data is it, what are you trying to optimize, how big is it, etc.?
Jan 21, 2016 at 0:40 history asked Austin Capobianco CC BY-SA 3.0