机译:基于改进的k均值算法的动态自准直仪高频小角度测量
Beijing Institute of Technology, School of Optics and Photonics, Joint Research Center for Optomechatronics Engineering, Beijing, China,Beijing Institute of Technology, Shenzhen Research Institute, Shenzhen, China;
Beijing Institute of Technology, School of Optics and Photonics, Joint Research Center for Optomechatronics Engineering, Beijing, China,Beijing Institute of Technology, Shenzhen Research Institute, Shenzhen, China;
Beijing Institute of Technology, School of Optics and Photonics, Joint Research Center for Optomechatronics Engineering, Beijing, China,Beijing Institute of Technology, Shenzhen Research Institute, Shenzhen, China;
Beijing Institute of Technology, Shenzhen Research Institute, Shenzhen, China;
Beijing Institute of Technology, Shenzhen Research Institute, Shenzhen, China;
laser autocollimation; angle measurement; high-frequency measurement; k-means;
机译:基于C5.0决策树的滑坡敏感性分区方法和K-MEARE群算法提高风险管理效率
机译:基于C5.0决策树的滑坡敏感性分区方法和K-MEARE群算法提高风险管理效率
机译:一种基于改进的K平均算法的非均匀聚类路由算法
机译:基于多反射镜的自准直仪进行三维角度测量
机译:主动搜索:使用基于结果的动态最近邻居推荐算法来提高搜索引擎的效率。
机译:基于大数据挖掘的改进的K均值燃煤电厂能源分析算法:案例研究
机译:基于距离测量的改进的无迭代K均值聚类算法