The essence of PCA is to find the directions of maximum variance in high dimensional data, and project it into a smaller dimensional space while still retaining most of the information. The mpg/mtcars ...

Learn three methods to perform PCA on categorical or mixed data types in Python: one-hot encoding, factor analysis, and mixed data PCA. Compare their advantages and disadvantages.

Hi, I have made a PCA biplot using the fviz_pca_biplot() function. I would like to be able to scale the arrow lengths in the resulting plot. I have seen that setting the width is possible in #37. is ...

Tonight’s episode of Arrow has everyone talking about that big Bruce Wayne name drop, but for those paying attention there was another DC Comics character reference and it might just be a hint ...

In this paper we proposed a face recognition techniques based on Principal component analysis and two Dimension Principal Component Analysis using python. Many researcher’s use Matlab software but we ...