What is 'One-Class SVM'?

What is 'One-Class SVM'?

Approach: Describe using SVM for anomaly detection.

An algorithm used for anomaly detection. It learns a decision boundary that encloses the 'normal' data points in a high-dimensional space; points falling outside this boundary are classified as anomalies.

Follow-up: What kernel is usually used?

Key concepts: outlier detection, unsupervised, boundary.