SUBSPACE PROJECTION OF MULTI-DIMENSIONAL UNSUPERVISED MACHINE LEARNING MODELS

摘要

A computer-implemented method, apparatus and computer program product for projecting a machine learning model, the method comprising: obtaining a computerized multi-dimensional unsupervised anomaly detection model; obtaining a probability density function of the anomaly detection model; determining samples of the anomaly detection model, based on the probability density function; projecting the samples over at least one dimension set to obtain projected samples; processing the projected samples to obtain decision boundaries of the anomaly detection model over the at least one dimension set; and providing a visual display of the decision boundaries on a display device.