1. The key operation of data preprocessing is feature selection and extraction.
数据预处理的关键是特征选择和提取.

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2. By experiment study, the uncertainty coefficient is proved reasonable and viable.
实验表明, 特征子集的不确定性系数作为特征选择度量是合理和可行的.

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3. And a no - search combined feature selection method based on KNN is proposed.
在此基础上,该文提出了一种基于KNN算法的组合式非搜索特征选择算法.

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4. Feature extraction a prerequisite for the classification of PD signals.
特征选择与提取是对局部放电进行分类的前提条件.

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5. Feature selection is essentially a satisfactory optimization problem in engineering applications.
实际应用中的特征选择是一个满意优化问题.

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测绘| 药学
n.
  • 1.feature selection
  • 2.把原始多波段测量参数,经过变换重新组合,从中选定对识别分类更有效的特征参数的过程。

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每日一句: To improve is to change; to be perfect is to change often. 想提高就要改变,想达到完美就要不断改变。(温斯顿·丘吉尔) 跟读
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