Timeline for answer to Are mean normalization and feature scaling needed for k-means clustering? by Nightwriter
Current License: CC BY-SA 3.0
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| when toggle format | what | by | license | comment | |
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| Aug 31, 2023 at 20:44 | review | Suggested edits | |||
| Sep 1, 2023 at 6:26 | |||||
| Jan 30, 2012 at 16:04 | comment | added | pedrosaurio | No, I am comparing all continuous variables | |
| Jan 17, 2012 at 10:45 | comment | added | Nightwriter | So, you are clustering different factors? Could maybe use some weight or transformation of values. | |
| Jan 17, 2012 at 10:21 | comment | added | pedrosaurio | I am actually comparing different features that have their own scale. For instance I am comparing GC content which has a range from about 0.3 to 0.5 which may seem to be small but the difference is quite important; some other features have broader ranges, some others range in very small scales. | |
| Jan 17, 2012 at 10:13 | history | answered | Nightwriter | CC BY-SA 3.0 |