RPCA Procedure

reads input data in parallel when the data source is on a distributed system

is multithreaded during all phases of analytic execution

supports large-scale training data

enables you to do the analysis on selected columns of the data

enables you to generate multiple decomposition outputs

enables you to project new data on principal components as well as to project new data in the low-rank space

enables you to do anomaly detection

enables you to input and process image data