For the inconsistency problem of heterogeneous sensors' measurement Spaces, a new data association (da) algorithm based on fuzzy clustering algorithm is presented.
针对异类传感器观测空间不一致的问题，提出了基于模糊聚类的异类多传感器数据关联算法。
So an energy and distance efficient clustering algorithm based on virtual area partition was proposed in this paper for heterogeneous wireless sensor networks.
提出了一种基于虚拟区域划分的适用于异构无线传感器网络的能量和距离有效分簇算法。
Simulational results show that the clustering scheme provides longer lifetime and higher throughput than the current important clustering protocols in heterogeneous environments.
模拟实验结果显示，与现有的重要成簇方案相比，新的成簇算法在异构网络下提供了更长的网络生存时间和更大的网络有效吞吐量。
Existed data stream clustering algorithms can not deal with the data stream with high-dimensional heterogeneous attributes.
现有的数据流聚类算法无法处理高维混合属性的数据流。
Existed data stream clustering algorithms can not deal with the data stream with high-dimensional heterogeneous attributes.
现有的数据流聚类算法无法处理高维混合属性的数据流。
应用推荐