Anomaly detection for blueberry data using sparse autoencoder-support vector machine
High-dimensional space includes many subspaces so that anomalies can be hidden Mugs in any of them, which leads to obvious difficulties in abnormality detection.Currently, most existing anomaly detection methods tend to measure distances between data points.Unfortunately, the distance between data points becomes more similar as the dimensionality o