principal component analysis

What is Principal Component Analysis (PCA)? Principal Component Analysis (PCA) is a dimensionality reduction technique commonly used in statistics and data analysis. Its primary objective is to transform a dataset containing a potentially large number of correlated variables into a new set of variables, known as principal components, that are uncorrelated and capture most of […]