Utilizing Machine Learning Techniques to Predict the Efficacy of Aerobic Exercise Intervention on Young Hypertensive Patients Based on Cardiopulmonary Exercise Testing

Figure 3

The SRC schematic for a two-class problem, where y is the unlabeled sample. D₁ and D₂ represent subdictionaries composed of all normalized samples belonging to class 1 and class 2, respectively. The sparse representation can be divided into two subvectors ( and ) according to the number of columns in D₁ and D₂. The black-filled blocks in represent nonzero elements.