Timeline for Unsupervised outlier detection in 2D space
Current License: CC BY-SA 3.0
37 events
| when toggle format | what | by | license | comment | |
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| May 29, 2021 at 17:27 | answer | added | blackeneth | timeline score: 0 | |
| May 29, 2021 at 15:03 | 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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| Jul 23, 2018 at 2:48 | history | tweeted | twitter.com/StackStats/status/1021225596196737024 | ||
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| Nov 9, 2016 at 9:06 | comment | added | StepTNT | It is. Does this mean that I can simply use the number of points to evaluate them? EDIT: I'm not sure that this will be the case with other datasets though. | |
| Nov 9, 2016 at 9:03 | comment | added | Erich Schubert | The purple cluster is simply the lagest cluster? | |
| Nov 8, 2016 at 12:08 | history | edited | StepTNT | CC BY-SA 3.0 |
added 379 characters in body
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| Nov 3, 2016 at 17:10 | history | edited | StepTNT | CC BY-SA 3.0 |
Added more results
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| Nov 3, 2016 at 9:32 | answer | added | Erich Schubert | timeline score: 2 | |
| Nov 3, 2016 at 6:17 | comment | added | Has QUIT--Anony-Mousse | It's one of the OPTICS choices in ELKI. It's the one you need to get clusters instead of the plot. Itjs in the OPTICS paper (look out for the Xi character). | |
| Nov 2, 2016 at 22:23 | comment | added | StepTNT | I can't find anything on OPTICSXi so I don't know how to use the Xi parameter. LOF produces results that are hard to read since each point has a big outlier bubble, and both LOF/kNN require a parameter that I should compute somehow. | |
| Nov 2, 2016 at 21:11 | comment | added | Has QUIT--Anony-Mousse | Did you use OPTICSXi? Because just OPTICS will only produce the OPTICS plot, not clusters. Did you try outlier detection such as kNN and LOF? | |
| Nov 2, 2016 at 12:52 | review | First posts | |||
| Nov 2, 2016 at 12:52 | |||||
| Nov 2, 2016 at 12:42 | history | asked | StepTNT | CC BY-SA 3.0 |