1) optimization of feature weight
特征权重优化
1.
Several optimal iterative formulas are deduced by an integration between the FCM clustering algorithm and the optimization of feature weight based on the forward works.
参照文献[5]中将K-means聚类算法与特征权重优化相结合的方法,推导出FCM聚类算法与特征权重优化相结合的优化迭代公式,形成加权FCM算法。
2) feature weighting
特征权重
1.
Performance of feature weighting computation directly influences precision of text classification or clustering.
特征权重计算是文本表示的关键,权重计算方法的优劣直接影响文本分类和聚类的准确度。
3) Feature weight
特征权重
1.
A topic-based feature weight calculation method for patent categorization
专利分类中基于主题的特征权重计算方法
2.
After feature reduction,based on the hypothesis that time factor has a significant affect on the adoptability of the history cases,a small scale algorithm for case feature weight calculation called TSBMPSA is proposed.
经过特征约简,在假设时间因素对历史案例可采纳程度有显著影响基础上,提出了一种小规模的基于时序的案例特征权重多阶段调整算法。
3.
This paper mainly discusses the feature weight autolearning method for casebased reasoning.
重点讨论了基于案例推理中特征权重的自动学习方法。
5) feature optimization
特征优化
1.
With combinaton of independent component analysis(ICA) and support vector machine(SVM),a method for MR brain image segmentation was presented based on feature optimization algorithm.
结合独立分量分析与支持向量机,提出一种基于特征优化算法的磁共振脑组织分割方法。
6) weights optimization
权重优化
1.
Application of weights optimization in selection of road routes schemes;
权重优化在公路路线方案决策中的应用
2.
Algorithm of weights optimization based on fuzzy reasoning was presented by using fuzzy reasoning technology.
利用模糊推理技术建立了一种基于模糊推理的权重优化模型。
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参考词条