..._矫正 关键词:虚点;分类算法;特征权重;向量空间模型 [gap=1658]Keywords: Virtual point, text categorization, feature weight, vector space model ...
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case feature weight 案例特征权值
document feature weight 文档特征权重
centroid feature weight 质心特征权重
feature weight learning 特征权学习
feature weight adjustment 特征词权重调整
optimization of feature weight 特征权重优化
feature weight learning algorithm 属性权重学习算法
category-feature weight vector model 类别特征权重向量模型
feature item weight 特征项权重
The experiments indicate that considering feature weight is rational and necessary.
最后的实验也表明了考虑特征权重的合理性和必要性。
参考来源 - 符号聚类新方法的研究及应用The basic idea is to classify the training documents firstly, then analyze the commonness of the documents on the same topic. After feature weight modification and feature reduction, the concept vectors on different topic are formed.
其基本思路是对训练文档集进行聚类处理，然后对同主题文档进行共性分析，并经过特征权值调整和特征约简，获得表示用户不同主题偏好的概念向量。
参考来源 - 期刊学术社区·2,447,543篇论文数据，部分数据来源于NoteExpress
This paper proposes CF-WFCM algorithm including feature weight learning algorithm and clustering algorithm.
提出CF-WFCM算法，该算法分为属性权重学习算法和聚类算法两部分。
Using the result of word segmentation we give a comprehensive feature weight calculation and we get the feature words set.
对分词的结果再进行综合加权处理，最终得到文档的特征概念集。
Any globalization feature must be related to a field, such as Currency, Length, Weight, and so on.
任何全球化功能都必须与一个字段关联，如Currency、Length、Weight等等。
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