Timeline for Word embedding and Euclidean distance
Current License: CC BY-SA 4.0
6 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Jun 30, 2023 at 16:32 | comment | added | ozw1z5rd | @Tim, yes I agree. I had an intuition and the link you are referring is a consolidated known fact. | |
| Jun 30, 2023 at 14:56 | comment | added | Tim | Both distance metrics are roughly the same stats.stackexchange.com/questions/544951/… | |
| Jun 30, 2023 at 14:44 | answer | added | Klops | timeline score: 1 | |
| Jun 30, 2023 at 13:54 | comment | added | ozw1z5rd | Yes, I agree. However, since we care about the direction rather than the module, reducing the vectors to be unitary does not imply information loss. At this point, only the angles matter. Further, yesterday I got a hint about that, which confirmed that in the case of unitary vectors, Euclidean distance matches the cosine distance. The first step is solved. About the meaningfulness of a dimensional reduced version of the embeddings... I'm afraid that it is not working. | |
| Jun 30, 2023 at 0:54 | comment | added | Arya McCarthy | Regardless of coordinate system, distance is the same. Coordinate systems are just a representation of the same space. | |
| Jun 29, 2023 at 17:25 | history | asked | ozw1z5rd | CC BY-SA 4.0 |