1) advanced k-d tree
改进k-d树
2) K-D tree
K-D树
1.
K-means clustering algorithm based on k-d tree;
基于k-d树的k-means聚类方法
2.
Airborne LIDAR point cloud data filter based on k-d tree
基于k-d树的机载LIDAR点云滤波处理
3.
First,adopting the frequency method in probability statictics,the noise data could be found from the scattered data;then,through the K-D tree space estblished based on the 3D data,the k nearest points around noise point were found and through the information of these k points,the real informatio.
根据概率统计学中的频数法从大量的离散三维数据点云中找到噪声点,然后基于三维数据点云所建立的K-D树空间数据结构,找到噪声点周围的k个最近点,根据噪声点周边k个最近点的信息对噪声点处的真实信息进行恢复。
3) K-D-tree
K-D树
1.
Tree is one of the most effective method to build multidimensional index in database system,k-d-tree and R-tree are all some popular structures.
树形结构一直都是数据库系统中建立多维索引最有效的方法之一,其中比较流行的有k-d树,R树等。
4) optimal k-d tree
优化k-d树
5) bounded k-d tree
有界k-d树
1.
Algorithm for searching nearest-neighbor based on the bounded k-d tree;
基于有界k-d树的最近点搜索算法
6) improved K-CFAR detector
改进的K-CFAR
补充资料：海南龙血树（小花龙血树）
百合科Liliaceae
乔木状，高3-4m。叶聚生于茎和枝顶，几呈套叠状，长约70cm，抱茎，无柄。圆锥花序长约30cm，花序轴无毛或近无毛。分布于海南西南部，生于背风区的干燥砂土上。越南、柬埔寨也有分布。国家三级保护濒危种。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条