Timeline for PCA vs SVD - understanding difference and preference of SVD over PCA [duplicate]
Current License: CC BY-SA 3.0
8 events
| when toggle format | what | by | license | comment | |
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| Mar 16, 2016 at 20:43 | comment | added | amoeba | Related: stats.stackexchange.com/questions/202036. | |
| Jan 20, 2015 at 16:32 | history | closed | whuber♦ | Duplicate of Is there any advantage of SVD over PCA? | |
| Jan 20, 2015 at 16:31 | history | reopened | whuber♦ | ||
| Aug 14, 2014 at 12:14 | history | closed |
Andy gung - Reinstate Monica regression Users with the regression badge or a synonym can single-handedly close regression questions as duplicates and reopen them as needed. |
Duplicate of Why PCA of data by means of SVD of the data? | |
| Aug 14, 2014 at 9:37 | review | Close votes | |||
| Aug 14, 2014 at 12:14 | |||||
| Aug 14, 2014 at 6:52 | comment | added | ttnphns | Read stats.stackexchange.com/q/79043/3277. PCA and SVD are not comparable at all. PCA is a data analytic method. SVD is a mathematical operation. PCA is often done via SVD (BTW PCA does not necessarily remove means). Some other analytical methods, similar to PCA - Correspondence analysis, Principal Coordinate analysis, Procrustes rotation etc. - use SVD also. | |
| Aug 14, 2014 at 6:30 | answer | added | dksahuji | timeline score: 6 | |
| Aug 14, 2014 at 6:05 | history | asked | user3788557 | CC BY-SA 3.0 |