Posted: May 19, 2025 | Last updated: July 10, 2025 Simplify complex datasets using Principal Component Analysis (PCA) in Python. Great for dimensionality reduction and visualization.

MatShow(eigenVecs, 4, 9, false); The MatExtractCols () function pulls out each column in the eigenvectors, ordered by the idxs array, which holds the order in which to sort from largest to smallest.

The Data Science Lab Anomaly Detection Using Principal Component Analysis (PCA) The main advantage of using PCA for anomaly detection, compared to alternative techniques such as a neural autoencoder, ...