Experiment result shows that as reserving typical samples and reducing training samples, the generalization performance and training efficient of the classifier are guaranteed.

 
  • 仿真結果證實(shí),由于保留了典型樣本,減少了訓練樣本數量,從而保證了分類(lèi)器的性能且訓練效率較高。
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