Research Article
A New Ensemble Method with Feature Space Partitioning for High-Dimensional Data Classification
Input: training data size of , Inducer , number of iterations | Output: Aggregated classifier | Begin: | (1) with instance weights assigned to be 1 | (2) for to | (3) | (4) | (5) If , set to a bootstrap sample from with weight 1 for every instance and go to Step 3 | (6) | (7) For each , if then | (8) Normalize the weights of instances so the total weight of is | (9) } | (10) | End |
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