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Dec 5, 2021 at 23:05 history bumped CommunityBot This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.
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Jun 25, 2021 at 15:02 answer added Brian Spiering timeline score: 1
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Mar 27, 2021 at 21:42 comment added Soerendip missing values are gaps in your dataset and may be the origin of the negative eigenvalues.
Mar 27, 2021 at 14:30 history edited maths soso CC BY-SA 4.0
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Mar 26, 2021 at 23:20 answer added Cryo timeline score: 0
Mar 26, 2021 at 19:49 comment added maths soso @Sören what do you mean by missing values? np.dot(x.T, x) is a covariance matrix, I'd love to show the data, but I don't know how to show you a 60000x20 matrix
Mar 26, 2021 at 19:45 comment added Nikos M. yeap, misread it
Mar 26, 2021 at 19:38 comment added maths soso @NikosM. what do you mean? this is an array of eigenvalues.
Mar 26, 2021 at 19:26 comment added Soerendip What is your input looking like? Do you have any missing values? stats.stackexchange.com/questions/315297/…
Mar 26, 2021 at 19:04 review First posts
Mar 27, 2021 at 0:50
Mar 26, 2021 at 19:01 history asked maths soso CC BY-SA 4.0