Research Article
A Clone Selection Based Real-Valued Negative Selection Algorithm
Algorithm 4
The process of outlier selves discovery algorithm.
Procedure. Outlier selves discovery algorithm | Input: the self training set Train | Output: outlier self set Selfd | Begin | While self is not detected do | m = 0; | for other self in the self training set Train do | Compute the distance between and f(, ); | If f(, ) < r then m ++; | End; | If then add into the outlier self set Selfd; | End; | End. |
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