AI, Dimensionality Reduction, Machine Learning, Python, Data Science.
dispersed, indicating high variance across its dimensions. Additionally, we aim to eliminate correlated dimensions, meaning that the covariance among dimensions should be zero, signifying their linear independence. Consequently, the aim is to undergo a data transformation so that its covariance