Timeline for How to interpretation of the results of PCA [closed]
Current License: CC BY-SA 3.0
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| when toggle format | what | by | license | comment | |
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| Oct 2, 2020 at 18:10 | history | closed |
kjetil b halvorsen♦ whuber♦ |
Needs details or clarity | |
| Oct 2, 2020 at 17:02 | review | Close votes | |||
| Oct 2, 2020 at 18:10 | |||||
| Oct 2, 2020 at 16:44 | history | edited | kjetil b halvorsen♦ |
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| Jan 21, 2016 at 17:34 | comment | added | Jautis | Interpreting PCs depends a lot on what your initial data is. Also, what is the question you want to answer? Remember, by itself, each PC is really just the vector which explains the greatest proportion of variance in the dataset. You may want to tell is there is a variable that maps onto the PCs (i.e. a variable that provides structure within the data) or if two groups cluster separately, but this depends on what you actually want to know. | |
| Jan 21, 2016 at 15:47 | review | First posts | |||
| Jan 21, 2016 at 15:49 | |||||
| Jan 21, 2016 at 15:44 | history | asked | madeinQuant | CC BY-SA 3.0 |