Timeline for PCA-like method for filtering known variances
Current License: CC BY-SA 4.0
10 events
| when toggle format | what | by | license | comment | |
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| Sep 30 at 5:06 | history | bumped | CommunityBot | This question has answers that may be good or bad; the system has marked it active so that they can be reviewed. | |
| Jun 2 at 4:09 | history | bumped | CommunityBot | This question has answers that may be good or bad; the system has marked it active so that they can be reviewed. | |
| Feb 3 at 3:15 | history | bumped | CommunityBot | This question has answers that may be good or bad; the system has marked it active so that they can be reviewed. | |
| Oct 6, 2023 at 3:09 | history | bumped | CommunityBot | This question has answers that may be good or bad; the system has marked it active so that they can be reviewed. | |
| Jun 8, 2023 at 15:27 | comment | added | kjetil b halvorsen | Maybe look into canonical correlation analysis: mathoverflow.net/search?q=canonical+correlation+analysis | |
| Jun 8, 2023 at 2:07 | history | bumped | CommunityBot | This question has answers that may be good or bad; the system has marked it active so that they can be reviewed. | |
| May 9, 2023 at 1:57 | answer | added | Joseph Van Name | timeline score: 0 | |
| May 8, 2023 at 19:56 | comment | added | Joseph Van Name | +1. Can you link some of the data that you want to run a PCA-like test on? I would like to run a PCA-like test on my own machine to see if it can find the most prominent cluster of dimensions rather than the most prominent dimensions. | |
| S May 8, 2023 at 19:41 | review | First questions | |||
| May 8, 2023 at 19:46 | |||||
| S May 8, 2023 at 19:41 | history | asked | Will Rust | CC BY-SA 4.0 |