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Regarding Principal Component Analysis result Interpretation

Suzen, Mehmet 
Usually, PCA is used for a large number of features. FactoMineR [1]
package provides a couple of examples, check for temperature example.
But you may want to consult to basic PCA material as well, I suggest a
book from Chris Bishop [2].


[1] https://cran.r-project.org/web/packages/FactoMineR/vignettes/clustering.pdf
[2] http://www.springer.com/de/book/9780387310732?referer=www.springer.de

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Shylashree U.R Regarding Principal Component Analysis result Interpretation Sep 15 Suzen, Mehmet Regarding Principal Component Analysis result Interpretation Sep 15 Ismail SEZEN Regarding Principal Component Analysis result Interpretation Sep 15 Bert Gunter Regarding Principal Component Analysis result Interpretation Sep 15