Research Article
Regularized Embedded Multiple Kernel Dimensionality Reduction for Mine Signal Processing
Algorithm 1
The proposed MKL-EGE algorithm.
Input: The matrix of data points , the number of classes , step length , maximum number of iterations , | parameters , and , an error constant . | Output: | () Initialize , construct the weighted matrix , calculate . | () Repeat | () Calculate and . | () Find as the first c largest eigenvalues of and as the first c smallest eigenvalues of . | () Let , and . | () while do | () Compute as the sum of the first c largest eigenvalues of . | () If then else . | () . | () Obtain , where are the c eigenvectors corresponding to the c largest eigenvalues of . | () Set . | () Update . | until reached | () Output , calculate the embedding result |
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