Timeline for Segmentation of Geodemographic Data
Current License: CC BY-SA 3.0
8 events
| when toggle format | what | by | license | comment | |
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| Dec 6, 2020 at 21:10 | history | edited | kjetil b halvorsen♦ |
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| Jul 5, 2019 at 5:02 | 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. | |
| Mar 1, 2019 at 6:03 | 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. | |
| Apr 8, 2016 at 1:51 | comment | added | user78229 | Ok...but how do you propose integrating geography in a "correlation?" | |
| Apr 8, 2016 at 1:39 | comment | added | Stat | Not exactly, I don't have any response variable here. So the answer to your 1st question is no. I am interested in two cases: with and without considering the geographic correlation among variables. | |
| Apr 7, 2016 at 19:44 | comment | added | user78229 | Would it be fair to say that you are interested in a supervised learning algorithm where income is the target and the other features are predictors of income? Next, you want to do it two ways: 1) based on a model that includes geography in @anony-mousse's sense (below) in terms of proximity or nearest neighbor and, 2) a model that ignores geography, correct? | |
| Apr 7, 2016 at 19:29 | answer | added | Has QUIT--Anony-Mousse | timeline score: 1 | |
| Apr 6, 2016 at 1:24 | history | asked | Stat | CC BY-SA 3.0 |