1) K-nearest neighbor
K近邻
1.
Phosphorylation Site Prediction Based on k-Nearest Neighbor Algorithm and BLOSUM62 Matrix;
基于k近邻和BLOSUM62矩阵方法的磷酸化位点预测
2.
Facial expression recognition based on C-means and K-nearest neighbor algorithms;
基于C均值K近邻算法的面部表情识别
3.
A promising K-nearest neighbor nonparametric regression forecasting model based on typical historical database was developed.
基于所构建的历史数据库,通过数值试验,确定了状态向量、距离匹配原则,K近邻值等参量,构建了一种基于K近邻的非参数回归短时交通预测模型,实现了对路段行程速度的短时预测。
2) KNN
K近邻
1.
KNN(K nearest neighbors) is one of the best text categorization algorithms based on Vector Space Model.
K近邻算法是基于向量空间模型的最好的文本分类算法之一。
2.
This paper discusses two popular algorithms for text categorization:Vector Space Model(VSM) and k Nearest Neighbor(kNN).
论文讨论了两个常用的文本分类算法:向量空间法和k近邻方法。
3.
The paper analyze the KNN(k near neighbour)algorithm,presents spam filtering Model based on kNN.
本文通过对K近邻算法进行研究,在其基础上提出了一种基于K近邻的邮件过滤模型。
3) K-nearest neighbor
K-最近邻
1.
Development and improvement of K-Nearest Neighbor clustering technique
K-最近邻分类技术的新发展与技术改进
2.
To further understand the quantitative structure-activity relationship(QSAR)of fluorine-containing pesticide and improve the prediction precision of QSAR models,a novel nonlinear combinatorial forecast me-thod named Multi-KNN-SVR,multi-K-nearest neighbor based on support vector regression,was proposed.
为深入认识含氟农药生物活性与其结构之间的关系,建立了理想的QSAR模型,从化合物油水分配系数等7个分子结构描述符出发,基于支持向量回归(SVR)和MSE最小原则,经自动寻找最优核函数和非线性筛选描述符,构建了多个K-最近邻(KNN)预测子模型。
3.
In order to improve the predication precision of quantitative structure-activity relationship(QSAR) model,a novel combinatorial k-nearest neighbor method based on support vector machine regression(SVR-CKNN) was proposed,which could screen descriptors automatically and then builds several k-nearest neighbor models for combinatorial forecast.
该法基于支持向量机回归(SVR)自动筛选化合物结构描述符,以k-最近邻建立多个子模型实施组合预测(CKNN)。
4) k-near neighbor group
k-近邻群
1.
A novel combinatorial forecast method based on support vector machine regression and k-near neighbor group and its application in QSAR;
基于SVR和k-近邻群的组合预测在QSAR中的应用
5) k-neighbor
k近邻
1.
K-neighbor Searching of Surface Reconstruction From Scattered Points;
散乱数据点的k近邻搜索算法
2.
Moreover,to accelerate the normal vector spreading,we propose the two-order nearest distance and one-order k-neighbor method.
主要思想是根据法向距离阈值,把散乱点划分为平坦点和非平坦点两种类型;根据其邻近点是否有不平坦点来采用不同的法矢传播方式而无需建立散乱点法矢的Riemannian图;并提出了两次最近距离和一次k近邻遍历法加快了法矢的传播速度。
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