Timeline for Is it wrong if I cluster numerical attributes and categorical attributes separately?
Current License: CC BY-SA 4.0
4 events
| when toggle format | what | by | license | comment | |
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| Apr 5, 2019 at 10:56 | vote | accept | Rohit Gavval | ||
| Mar 19, 2019 at 6:31 | comment | added | Has QUIT--Anony-Mousse | Same as if you only select numeric or only categoricial features by feature selection... But you do understand that feature selection best works supervised? Because otherwise you don't really know what you will be missing if you drop a feature? | |
| Mar 19, 2019 at 4:43 | comment | added | Rohit Gavval | I am already looking at feature selection. Considering I am looking at most informative features, I would like to understand what will I be missing if I separate the two types (numerical and categorical) variables and cluster them individually. | |
| Mar 18, 2019 at 18:50 | history | answered | Has QUIT--Anony-Mousse | CC BY-SA 4.0 |