… 首先,基于密度峰值聚类方法 和K-Means聚类方法建立了一种新的节点分簇算法;然后,联合
优化了无人机对无线传感器网络各分簇的访 问次序和悬停位置.实验结果显示,与最近提出的Ptr-A* …

… - principal component analysis -K-Means were established in this study. The RF-RFE … winter
wheat yield using optimal vegetation indices from unmanned aerial vehicle remote sensing. …

… of unmanned aerial vehicle remote sensing makes itself play … , the optimal cluster number of
K-means clustering algorithm … by combining spectral and texture features from aerial images. …

… Sensor and Sensing Network Technology, Tianjin 300350, China Abstract With the popularization
of nonmilitary unmanned aerial vehicles (UAVs), UAV-… 1 基于K-means 算法的聚类分析 …

… -sensor asynchronous information fusion method is proposed. Firstly, a K-Means clustering
… rule of thumb for the calculation of k-values in the real-time clustering method. Secondly, a …

… sensor and thermal imager was used as a remote sensing … K-Means cluster based leaf
disease identification in cotton … spot based on hyperspectral image and genetic optimization …

… drones are equipped with advanced navigation and sensing … The PSO algorithm introduces
the K-Means clustering algorithm … planning results of unmanned aerial vehicles with multiple …

… Review of unmanned aerial vehicle swarm path planning based on intelligent optimization.
… 单旅行商, 仅适用于小 规模问题; 文献[78]利用K–means算法将多旅行商问 题聚类为多个独立的…

… 其中,K-Means-最短路径算法通过KMeans 划分无人机服务的… Unmanned aerial vehicle
path planning based on improved … for timely data collection in wireless sensor networks[C]//…

… of the algorithm, K-means clustering and greedy algorithm are … Collaborative vehicle-drone
distribution network optimization … Optimization of truck-drone collaborative distribution route …