Research Article
Localized Simple Multiple Kernel K-Means Clustering with Matrix-Induced Regularization
| | Input: , k, , , , and t | | (1) | Initialization and t = 1. | | (2) | Calculate by for th samples according to the average kernel. | | (3) | | | (4) | repeat | | (5) | Update by solving the first k eigenvalues with . | | (6) | Compute and the direction of descent of the gradient in (16). | | (7) | Update . | | (8) | . | | (9) | Until |
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