A Self-Representation-Based Fuzzy SVM Model for Predicting Vascular Calcification of Hemodialysis Patients

Algorithm 1

Algorithm of FSVM-SR.

Require: training set , test set, the parameters of C and ; the Gaussian kernel bandwidth of .

Ensure: The predictive values of .

1. Calculate the training kernel (), test kernel matrix () and Laplacian matrix by Equation (4) and ;

2. Estimate the self-representing coefficient matrix of by Equation (9);

3. Calculate the reconstruction error for each training sample via ;

4. Obtain the final membership value of each training sample by ;

5. Train FSVM-SR (obtaining ) via solving Eq. (3);

6. Predict by SVM decision function:.