The method firstly organizes support vectors in clusters in feature space, and then, it finds the pre-images of the cluster centroids in feature spa.
此方法首先在特征空间中对支持向量进行聚类，然后寻找特征空间中的聚类中心在输入空间中的原像以形成约简向量集。
The experiment results show that the cluster initial centroids selected by the new method is more closed to the desired cluster centers, and the better clustering accuracy can be achieved.
仿真结果表明，该方法选择的聚类初始点更加接近期望的聚类中心，能获得更高的聚类精度。
The experiment results show that the cluster initial centroids selected by the new method is more closed to the desired cluster centers, and the better clustering accuracy can be achieved.
仿真结果表明，该方法选择的聚类初始点更加接近期望的聚类中心，能获得更高的聚类精度。
应用推荐