Timeline for Alternatives to the Silhouette score in cluster analysis?
Current License: CC BY-SA 4.0
5 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Jun 2 at 23:52 | comment | added | usεr11852 | Given you have the "true labels" then @ttnphns link should cover you. | |
| Oct 11, 2022 at 21:04 | comment | added | ttnphns | It looks like you have one partition (classes) and another partition (clusters). And want to measure how much the two agree. Right? Then you need some of external clustering criteria | |
| Oct 11, 2022 at 14:39 | comment | added | oliver.c | @utobi The classes are premade, not a variable, so every word already has a label. I'm interested in how well my resulting embedding data is organized according to those premade classes. | |
| Oct 11, 2022 at 14:22 | comment | added | utobi | the "clusteredness" of observations depends also on the chosen number of clusters. Have you tried varying that? | |
| Oct 11, 2022 at 14:00 | history | asked | oliver.c | CC BY-SA 4.0 |