Principal Component Analysis (PCA) Model Type

This model type of Anomaly Detection is based on the Principal Component Analysis (PCA). The embedding and reconstruction mappings are represented by linear transformations. The algorithm is very fast to train, but due to the linear mappings it is limited in its capabilities, e.g., when processing highly nonlinear data. In addition, temporal dependencies are not taken into account by the algorithm.