mvda in pharma

Principal Component Analysis (PCA) is a widely used dimensionality reduction technique in machine learning and data analysis. It aims to make a dataset change into another coordinate system in which variance of the data is maximized along new axes, referred as principal components. The dimensionality of high-dimensional data can be reduced by PCA while keeping …