1)  K-nearest neighbor
K最邻近域
2)  K-nearest neighbor
K-最近邻
1.
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)  k-shortest path
k-最短路
1.
By combining k-shortest path algorithm with bi-objective decision-making method,a practical algorithm of acquiring the efficient paths for the bi-objective shortest path problem is developed.
通过综合k-最短路算法和双目标决策方法获得了双目标最短路问题的有效路径实用算法,该算法属多项式算法,可快速求出所有有效路径。
4)  k-nearest neighbors
k-最近邻
1.
Using the quality of reducing dimensions of Hilbert curve,the paper presents an approximate k-nearest neighbors query algorithm,and analyzes the quality of the approximate k-nearest neighbors.
利用Hilbert曲线的降维特性,该文提出基于Hilbert曲线近似k-最近邻查询算法AKNN,分析近似k-最近邻的误差。
2.
5, SLIQ, SPRINT, association rule, K-means, K-nearest neighbors, Bayesian network, artificial neural network and genetic algorithm, and their parallelism.
5,SLIQ,SPRINT,关联规则,K-平均值,K-最近邻,贝叶斯网络,人工神经网络,遗传算法及并行性进行了研究探讨,为数据挖掘研究者提供借鉴。
5)  K-nearest neighbor classifier
K-最邻近
6)  K nearest neighbor
K最近邻
参考词条
补充资料:超导电性的局域和非局域理论(localizedandnon-localizedtheoriesofsuperconductivity)
超导电性的局域和非局域理论(localizedandnon-localizedtheoriesofsuperconductivity)

伦敦第二个方程(见“伦敦规范”)表明,在伦敦理论中实际上假定了js(r)是正比于同一位置r的矢势A(r),而与其他位置的A无牵连;换言之,局域的A(r)可确定该局域的js(r),反之亦然,即理论具有局域性,所以伦敦理论是一种超导电性的局域理论。若r周围r'位置的A(r')与j(r)有牵连而影响j(r)的改变,则A(r)就为非局域性质的。由于`\nabla\timesbb{A}=\mu_0bb{H}`,所以也可以说磁场强度H是非局域性的。为此,超导电性需由非局域性理论来描绘,称超导电性的非局域理论。皮帕德非局域理论就是典型的超导电性非局域唯象理论。

说明:补充资料仅用于学习参考,请勿用于其它任何用途。