Timeline for Hierarchical clustering with mixed type data - what distance/similarity to use?
Current License: CC BY-SA 3.0
17 events
| when toggle format | what | by | license | comment | |
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| Sep 23, 2021 at 7:19 | history | edited | ttnphns |
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| Jun 26, 2018 at 19:02 | history | protected | kjetil b halvorsen♦ | ||
| Apr 20, 2018 at 13:10 | history | edited | ttnphns |
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| Apr 18, 2016 at 6:21 | comment | added | RomRom | Yes it is integrated in Cluster package in R and you need to use the daisy () function to calculate the dissimilarity matrix. | |
| Apr 15, 2015 at 8:11 | answer | added | Zhubarb | timeline score: 21 | |
| Jun 5, 2014 at 19:03 | history | edited | ttnphns | CC BY-SA 3.0 |
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| Sep 9, 2011 at 1:23 | vote | accept | Beta | ||
| Sep 8, 2011 at 6:11 | answer | added | ttnphns | timeline score: 69 | |
| Sep 7, 2011 at 20:57 | comment | added | Beta | Yes. I've this data & I want to cluster the individuals based on certain vars. Now the vars I'm using are mixed, i.e. some vars are discrete while other continuous.So my question is could I have used hierarchical method using R? | |
| Sep 7, 2011 at 20:52 | comment | added | chl | @user4278 Well, what's your goal in fine? Are you looking to identify clusters (of individuals)? | |
| Sep 7, 2011 at 19:55 | comment | added | Beta | Na. I just asking this question for the sake of my knowledge. Can we do hierarchical when we have mixed data type. If yes, then why? If no, then why? | |
| Sep 7, 2011 at 19:13 | comment | added | suncoolsu | Is there a reason for using hierarchical clustering? | |
| Sep 7, 2011 at 18:45 | history | tweeted | twitter.com/#!/StackStats/status/111510303505793025 | ||
| Sep 7, 2011 at 18:42 | history | edited | chl | CC BY-SA 3.0 |
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| Sep 7, 2011 at 17:11 | comment | added | Beta | @rolando2: I'm using R (hclus package). | |
| Sep 7, 2011 at 16:56 | comment | added | rolando2 | What software are you using? | |
| Sep 7, 2011 at 16:18 | history | asked | Beta | CC BY-SA 3.0 |