机译:基于DBSCAN聚类的证据组合方法
College of Computer Science and Electronic Engineering and Key Laboratory for Embedded and Network Computing of Hunan Province Hunan University Changsha Hunan 410082 China Department of Electrical and Computer Engineering Virginia Polytechnic Institute and State University Virginia Blacksburg 24060 USA;
College of Computer Science and Electronic Engineering and Key Laboratory for Embedded and Network Computing of Hunan Province Hunan University Changsha Hunan 410082 China;
College of Computer Science and Electronic Engineering and Key Laboratory for Embedded and Network Computing of Hunan Province Hunan University Changsha Hunan 410082 China;
D-S evidence theory; information fusion; DBSCAN; combination rules;
机译:基于DBSCAN聚类的证据组合方法
机译:使用基于密度DBSCAN(SRCD-DBSCAN)的区域聚类选择,确定适合K均值聚类的参数
机译:基于分区的DBSCAN和蚂蚁聚类的混合新方法
机译:AF-DBSCAN:一种基于DBSCAN方法的无监督自动模糊聚类方法
机译:AlphaRank:一种基于链接分析技术和基于频率的方法相结合的新平滑算法。
机译:基于变化性AutiaceCoder和DBSCAN群集的主动学习方法
机译:MRG-DBSCAN:一种基于地图减少和网格的改进的DBSCAN聚类方法