Assessment method using the distance-sensitive feature selection on the feature set, and then enters the sensitive features of support vector machine classification.
然后采用距离评估方法对特征集挑选敏感特征，将敏感特征输入支持向量机进行分类。
The spectrum signal was pretreated and several key characteristic parameters were extracted and then a set of new feature vector was obtained by reducing the dimensions.
首先对光谱信号进行预处理并抽取了多个关键性的特征参数，通过降维分析得到一组新的特征向量。
During learning, a set of feature vectors is given to the algorithm, each vector labeled with the class the object it represents, belongs to.
在学习过程中的算法中给定的特征矢量，每个矢量标记为一个分类。
We set up document feature vectors and user interest vector, and do their correlation calculation by using vector space model, finally return the interested results for the user.
分别构建文档特征向量和用户兴趣向量，运用向量空间模型对其做相关性计算，返回用户感兴趣的检索结果。
Similarly, based on rough set theory to feature-set reduction, in the optimal decision based on the use of the property least squares support vector machine classifier to identify the flow pattern.
同样，基于粗糙集理论对特征集进行约简，在最优决策属性的基础上使用最小二乘支持向量机分类器对流型进行识别。
Similarly, based on rough set theory to feature-set reduction, in the optimal decision based on the use of the property least squares support vector machine classifier to identify the flow pattern.
同样，基于粗糙集理论对特征集进行约简，在最优决策属性的基础上使用最小二乘支持向量机分类器对流型进行识别。
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