Timeline for K-Means Cluster has over 50% of the points in one cluster. How to optimize it?
Current License: CC BY-SA 3.0
12 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Jun 17, 2022 at 15:36 | comment | added | Mnemosyne | sorry, i never solved it. had to use another algorithm to give me more acceptable results. | |
| May 27, 2022 at 11:41 | comment | added | enneppi | @Mnemosyne do you solve this problem? some advice after years? | |
| Oct 24, 2021 at 20:39 | answer | added | Roman Klimenko | timeline score: 0 | |
| Nov 21, 2016 at 1:06 | answer | added | charleymrphy | timeline score: 3 | |
| Nov 8, 2016 at 0:42 | vote | accept | Mnemosyne | ||
| Nov 3, 2016 at 6:57 | comment | added | Has QUIT--Anony-Mousse | Please add a visualization of your data and clusters (a sample is fine). | |
| Nov 3, 2016 at 6:56 | answer | added | Has QUIT--Anony-Mousse | timeline score: 4 | |
| Nov 2, 2016 at 21:47 | answer | added | jxieeducation | timeline score: 1 | |
| Nov 2, 2016 at 21:00 | answer | added | Michael Grogan | timeline score: 1 | |
| Nov 2, 2016 at 20:11 | review | First posts | |||
| Nov 2, 2016 at 20:21 | |||||
| Nov 2, 2016 at 20:11 | comment | added | user78229 | Is there a logical reason that 50% of the entries are in one cluster? For instance, are their feature values constant and this lack of variability or distinguishing characteristics is dumping them into one undifferentiated mass? | |
| Nov 2, 2016 at 20:07 | history | asked | Mnemosyne | CC BY-SA 3.0 |