Handbook of Anomaly Detection: With Python Outlier Detection — (5) PCA
Published in
9 min readOct 8, 2022
Principal Component Analysis (PCA) is one of the popular techniques in data analysis. It performs a linear transformation to convert a set of data points of possibly correlated variables into a set of data points of linearly uncorrelated variables.
In this chapter, I will explain why a technique of dimensionality reduction can find outliers. I…
