Timeline for K-means dominated by one or two variables only
Current License: CC BY-SA 4.0
9 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Oct 11, 2023 at 17:05 | 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. | |
| Jun 3, 2023 at 20:03 | 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. | |
| Jul 30, 2018 at 11:46 | answer | added | Has QUIT--Anony-Mousse | timeline score: 1 | |
| Jul 30, 2018 at 9:01 | comment | added | ttnphns | Yes, as said, you should consider standardizing but you don't have to standardize. It depends (see). In the end, when you are satisfied with theoretical considerations you've made and there is still the "dominance" in the sense that only one variable separates the clusters - then yes, you could drop other variables. | |
| Jul 30, 2018 at 8:56 | history | edited | ttnphns | CC BY-SA 4.0 |
deleted 2 characters in body; edited title
|
| Jul 30, 2018 at 8:50 | review | Low quality posts | |||
| Jul 30, 2018 at 9:02 | |||||
| Jul 30, 2018 at 7:25 | comment | added | knb | if "dominated" means there are large differences in order of magnitude: standardize the variables | |
| Jul 30, 2018 at 6:31 | review | First posts | |||
| Jul 30, 2018 at 8:49 | |||||
| Jul 30, 2018 at 6:30 | history | asked | user216116 | CC BY-SA 4.0 |