How does PCA help in anomaly detection systems?

PCA helps detect anomalies by identifying data points with high reconstruction error.

Normal data lies in low-dimensional subspace captured by principal components. Anomalies do not conform to this structure and show high reconstruction error when projected back. This makes PCA effective for unsupervised anomaly detection.