Timeline for R: silhouette with k-means
Current License: CC BY-SA 3.0
5 events
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| Jan 31, 2020 at 0:00 | history | tweeted | twitter.com/StackStats/status/1223033307908255744 | ||
| Sep 1, 2015 at 13:40 | comment | added | Filipe Francisco | Thanks for the answer! I checked some of the matterial about Silhouette, and the use of the non-squared matrix is more general, meaning it can be used on every method (we can also compare two different methods if they use the same distance norm). Also, when comparing two k-means configurations, a better Silhouette with the squared matrix would often mean a better Silhouette with the non-squared matrix. And sorry for taking so long to answer again. | |
| Aug 21, 2015 at 14:00 | comment | added | ttnphns |
I would recommend you to read some posts here about the Silhouette criterion, one recent being this my answer. In brief: (1) One could compute a version of the index with distances to centroids rather than the averaged pairwise distances as in the original version; it's more in line with k-means. (2) You may still use original version which is quite "universal", if you like. No, I don't think there are particular reasons to prefer squared distances in this (k-means) instance unless you bother much with utmost/oulier points (while D's>1).
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| Aug 21, 2015 at 13:30 | review | First posts | |||
| Aug 21, 2015 at 13:33 | |||||
| Aug 21, 2015 at 13:25 | history | asked | Filipe Francisco | CC BY-SA 3.0 |