Research Article
A Real-Valued Negative Selection Algorithm Based on Grid for Anomaly Detection
| Input: the grid to divide | Output: the line storage of grids | Step . If there are not any self or the diameter reaches of grid, don’t divide, add into , and return; | if not, execute Step ; | Step . Divide each dimension of into two parts, then get sub grids, and map selves of into the sub grids; | Step . For each sub grid, call . |
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