[Retracted] Unsupervised Anomaly Detection Based on Deep Autoencoding and Clustering

Figure 1

The data objects in N₁ and N₂ account for the majority of all data objects and are regarded as normal, while O₁, O₂, and O₃ are only a minority; they are regarded as abnormal.