1) KNN
K近邻算法
1.
Conventional KNN(K-nearest Neighbor) algorithm requires large computational consumption when training samples are large.
为了解决K近邻算法(KNN)在训练样本较大时计算开销很高的问题,提出了一种新颖的基于免疫原理的数值归约方法,并将之应用于车牌颜色的识别。
3) K-nearest neighbor Predict
k-最近邻算法(KNN)
4) k-nearest neighbor algorithm
k-最近邻算法
1.
Research on an Adaptive k-Nearest Neighbor Algorithm;
一种自适应k-最近邻算法的研究
2.
A Method Research on Active Defence Technology against Virus Based on K-Nearest Neighbor Algorithm of Kernel
基于核的K-最近邻算法的主动式防御研究
3.
based on Fuzzy k-nearest neighbor algorithm.
目的:探讨模糊k-最近邻算法运用于葛根类药材模式识别的可行性。
5) Kernel KNN
核K近邻算法
6) KNN
K最近邻算法
1.
In view of the inadequacy of K nearest neighborhood (KNN) algorithm in text-processing environment in vector space models,this paper puts forward an improved KNN method of text categorization in accordance with self-organization mapping neutral network theory(SOM),feature selection theory and pattern aggregation theory.
本文针对VSM (向量空间模型)中KNN (K最近邻算法)在文本处理环境下的不足,根据SOM (自组织映射神经网络)理论、特征选取和模式聚合理论,提出了一种改进的KNN文本分类方法。
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