Timeline for Which outlier detection can detect these outliers?
Current License: CC BY-SA 3.0
6 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Oct 25, 2019 at 13:30 | comment | added | Mario | @MarmiteBomber thanks for the feedback but man I was interested in Python code! | |
| Oct 19, 2019 at 8:09 | comment | added | Marmite Bomber | @Mario see my other answer;) | |
| Jun 20, 2019 at 17:53 | comment | added | Marmite Bomber | @Mario good idea - let me see if I can find it after more than two years;) | |
| Jun 20, 2019 at 17:07 | comment | added | Mario | @Marmite Bomber It would be nice if you share the snippet of codes to catch the idea from a programming point of view. | |
| Apr 20, 2017 at 20:38 | comment | added | Arkan | I really appreciate your response. Yes, we can say it is like re-calibration and this is a good analogy. Your approach is good. I tested it. The result is exactly like the one you drew. The first red point is the first point of yellow points. The second point is the first point of the red points. The third red point is the last point of red points. Therefore, it is hard to discover knowledge from this data. This is because we couldn't discuss the red points after the first red point. We may need to visualize the primary data to conclude but this is human intervention. | |
| Apr 20, 2017 at 19:09 | history | answered | Marmite Bomber | CC BY-SA 3.0 |