Timeline for Quick and simple cluster analyses for univariate data
Current License: CC BY-SA 3.0
7 events
| when toggle format | what | by | license | comment | |
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| Jun 25, 2021 at 15:11 | comment | added | David Jacques | This post on Stack Overflow should answer your question: stackoverflow.com/questions/35094454/… | |
| Apr 13, 2017 at 12:44 | history | edited | CommunityBot |
replaced http://stats.stackexchange.com/ with https://stats.stackexchange.com/
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| Feb 13, 2012 at 7:06 | comment | added | Has QUIT--Anony-Mousse | Use the search function also on stackoverflow.com itself. I've seen this question come up quite often. Most often "one dimensional" instead of "univariate" though. See e.g. stackoverflow.com/a/8946299/1060350 | |
| Feb 13, 2012 at 5:04 | comment | added | Michelle | Hi again, I thought you were given some examples on what to do to look at your data for outliers, in the previous question. Are you having problems implementing those suggestions in Python? | |
| Feb 13, 2012 at 4:55 | comment | added | D.W. | @Michelle, I don't know (I'm not familiar with binning in this context). Perhaps the issue is that I don't know a priori what range to assign to each bin? Yeah, I realize clustering is usually applied to multivariate data; I would expect univariate clustering to be even easier, and I was hoping there might be some simple algorithms for it. | |
| Feb 13, 2012 at 4:29 | comment | added | Michelle | Do you mean that you want to bin your data? I cluster when I have multiple variables, not one. | |
| Feb 12, 2012 at 21:22 | history | asked | D.W. | CC BY-SA 3.0 |