Timeline for Distance metric for all categorical data
Current License: CC BY-SA 3.0
13 events
| when toggle format | what | by | license | comment | |
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| Aug 24, 2014 at 6:41 | answer | added | Simone | timeline score: 1 | |
| Aug 24, 2014 at 6:35 | answer | added | shadowtalker | timeline score: 1 | |
| Apr 9, 2014 at 19:00 | comment | added | EngrStudent | Can you comment about the expected overlap in the categories? If two questions were essentially the same question, then they are going to have similar but not identical response vectors. If there is such overlap then you might want to perform a clustering first then measure distance between clusters. | |
| Apr 9, 2014 at 18:57 | comment | added | EngrStudent | stackoverflow.com/questions/12118720/… | |
| Mar 6, 2014 at 1:29 | history | tweeted | twitter.com/#!/StackStats/status/441384971711037440 | ||
| Mar 5, 2014 at 16:54 | comment | added | Wayne | In particular, @ttnphns suggestion would be applicable if you originally had a nominal variable with more than two levels and you transformed it into binary dummy variables. (The summary is that treating these as if they were originally binary variables is a mistake.) | |
| Nov 29, 2013 at 22:21 | review | Close votes | |||
| Nov 30, 2013 at 1:22 | |||||
| Jul 2, 2013 at 18:24 | comment | added | ttnphns | Your question may be related to this one | |
| Jul 2, 2013 at 17:49 | comment | added | gung - Reinstate Monica | Welcome to the site, @user857418. If your goal in calculating distances is to reduce the dimensionality of your data for subsequent use in a neural network model, or something like that, it would be worth mentioning that in the body of your question. | |
| Jul 2, 2013 at 17:48 | history | edited | gung - Reinstate Monica | CC BY-SA 3.0 |
clarified question in title; changed tags; light editing
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| Jul 2, 2013 at 17:43 | review | First posts | |||
| Jul 2, 2013 at 17:49 | |||||
| Jul 2, 2013 at 17:43 | answer | added | David Marx | timeline score: 0 | |
| Jul 2, 2013 at 17:26 | history | asked | user857418 | CC BY-SA 3.0 |