Timeline for Distance metric for categorical and numerical data
Current License: CC BY-SA 3.0
9 events
| when toggle format | what | by | license | comment | |
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| Jan 18, 2022 at 15:00 | history | tweeted | twitter.com/StackStats/status/1483454165552713731 | ||
| Dec 27, 2017 at 8:06 | history | edited | ttnphns |
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| Dec 27, 2017 at 8:05 | comment | added | ttnphns | Gower similarity exactly does the normalization by range of numeric variables. stats.stackexchange.com/q/15287/3277. Classic k-means is not suited for categorical data, including recoded into dummies; look for other clustering method. | |
| Dec 27, 2017 at 1:53 | history | edited | Adel | CC BY-SA 3.0 |
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| Dec 27, 2017 at 0:39 | comment | added | user20160 | You might consider using a distance metric that inherently allows mixed data types. For example, take a look at Gower's distance. | |
| Dec 27, 2017 at 0:34 | comment | added | Adel | In order to build a model (in machine learning algorithms) to predict a new instance class/group. | |
| Dec 27, 2017 at 0:02 | comment | added | Michael R. Chernick | Why change categorical data to numeric in the first place? Numbers have an order. 2 is less than 5. But categorical data has no order like this. | |
| Dec 26, 2017 at 23:50 | review | First posts | |||
| Dec 27, 2017 at 0:02 | |||||
| Dec 26, 2017 at 23:50 | history | asked | Adel | CC BY-SA 3.0 |