Commonly used for fraud detection and machine fault diagnosis.Īccess this feature under the Machine Learning menu. The aim is to separate data into two classes (based on a decision function): the positive one, considered as the class of inliers, and the negative one, considered as the class of outliers.
The One-class Support Vector Machine (One-class SVM) algorithm seeks to envelop underlying inliers. One-class Support Vector Machine (available in all XLSTAT solutions except Basic) XLSTAT 2021.1 is now available! What’s new?