Timeline for How to automatically choose the number of components for PCA? [duplicate]
Current License: CC BY-SA 4.0
13 events
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| Mar 7, 2022 at 12:26 | history | duplicates list edited | kjetil b halvorsen♦ | duplicates list edited from PCA using princomp in MATLAB, Choosing number of PCA components when multiple samples for each data point are available to PCA using princomp in MATLAB, Choosing number of PCA components when multiple samples for each data point are available, A paper mentions a "Monte Carlo simulation to determine the number of principal components"; how does it work?, Removing nuisance PCA components from the fMRI data | |
| Mar 7, 2022 at 12:24 | history | duplicates list edited | kjetil b halvorsen♦ | duplicates list edited from PCA using princomp in MATLAB to PCA using princomp in MATLAB, Choosing number of PCA components when multiple samples for each data point are available | |
| Mar 7, 2022 at 12:23 | history | closed | kjetil b halvorsen♦ | Duplicate of PCA using princomp in MATLAB | |
| Mar 7, 2022 at 12:03 | 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. | |
| Nov 6, 2021 at 18:03 | 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. | |
| Jul 6, 2021 at 15:06 | 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. | |
| Mar 5, 2021 at 11:04 | 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. | |
| Nov 2, 2020 at 10:27 | comment | added | kjetil b halvorsen♦ | Possible duplicates: stats.stackexchange.com/questions/56052/…, stats.stackexchange.com/questions/83789/…, stats.stackexchange.com/questions/189465/…, stats.stackexchange.com/questions/197071/…, stats.stackexchange.com/questions/51228/… | |
| Nov 2, 2020 at 10:05 | 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. | |
| Apr 28, 2019 at 23:06 | comment | added | Monotros | Yes, you can try Bayesian PCA (paper). It is able to automatically choose the latent dimensionality by maximizing marginal likelihood. | |
| Mar 6, 2019 at 19:17 | comment | added | Nick Cox | As your vertical axis shows proportion, the label % should be removed. Or 0.6(0.1)1 edited to 60(10)100. | |
| Mar 6, 2019 at 19:14 | answer | added | user240155 | timeline score: 0 | |
| Mar 6, 2019 at 19:07 | history | asked | foobar | CC BY-SA 4.0 |