Localized Simple Multiple Kernel K-Means Clustering with Matrix-Induced Regularization

Algorithm 1

LI-SimpleMKKM-MR.

	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