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 ...

PCA using R and Python. Contribute to oagbohouto86/pca development by creating an account on GitHub.

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.

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 ...