1) nearest neighbor approximation
最近邻近似
1.
Aim To investigate the dispersion relation of onedimensional diatomic chain,and compared with the results of nearest neighbor approximation.
目的研究一维双原子链的色散关系,并与最近邻近似下的结果进行比较。
2) approximate KNN
近似最近邻
1.
In this paper,we targeted at high-dimensional datasets and presented Two-Phase Approximate KNN Outliers Mining(TPOM),an algorithm of two-phase based approximate KNN outliers mining.
针对高维大数据集,提出了二阶段近似最近邻离群挖掘算法(TPOM),在聚类的基础上,通过加速最近邻查询和改善剪枝效率,提高了循环嵌套KNN算法的离群检测效率。
3) approximate nearest neighbor search
近似最近邻查询
4) approximate nearest neighbor searching(ANNS)
近似最近邻搜索
1.
Then we use the improved algorithm to speed up fractal image coding: cluster the domain blocks and build a(KD-Tree) for each cluster;and for each range block,its best-match domain block is obtained by PDS and approximate nearest neighbor searching(ANNS) from some nearest neighbors of each of some nearest(KD-Trees).
利用部分失真搜索求解传统K均值聚类算法中的最近邻搜索问题,显著地减少了传统算法的乘法次数,从而提高了聚类速度;然后用改进后的聚类算法来加速分形编码:首先将定义域块聚类并为每个类建立一棵KD-Tree,编码时对每个值域块先后用部分失真搜索与近似最近邻搜索得到与其距离最近的若干KD-Tree及其上的若干最近邻,而其最优匹配块即由后者产生。
5) approximate nearest neighbor matching
近似最近邻匹配
6) SNN(Shared Nearest Neighbor)similar degree
最近邻相似度
补充资料：Nearestneighbor(近邻取样)
nearest neighbor (近邻取样)
又被称为point sampling(点取样)，是一种较简单材质影像插补的处理方式。会使用包含像素最多部分的图素来贴图。换句话说就是哪一个图素占到最多的像素，就用那个图素来贴图。这种处理方式因为速度比较快，常被用于早期3d游戏开发，不过材质的品质较差。
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