Compute the discriminants for data and labels.

lda.compute(src, labels)

Input

• src data samples (matrix of rows of size N-by-d, or a cell-array of N vectors each of length d). Floating-point type.
• labels corresponding labels (vector of length N). Integer type.

Performs a Discriminant Analysis with Fisher's Optimization Criterion on given data in src and corresponding labels in labels using the previous set number of components.