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。
应用推荐