Local Similarity-Based Fuzzy Multiple Kernel One-Class Support Vector Machine

Algorithm 2

FMKOCSVM_LS.

	Input: the training set , the kernel function set , the kernel parameter set , the test set
	Output: the classification results of
(1)	Preprocess the training set
(2)	for m = 1 : P do
(3)	Calculate the corresponding kernel matrix of
(4)	end for
(5)	Substituting the kernel matrix into equation (16)
(6)	Calculate the kernel weight vector according to equation (16)
(7)	Calculate the combined kernel matrix according to equation (10)
(8)	for each do
(9)	Calculate the membership degree of the sample according to equation (22)
(10)	end for
(11)	Train the FMKOCSVM with the fuzzy membership values.
(12)	Calculate the classification results of test set according to equation (21)
(13)	end