1) Neighbor function criterion
近邻函数准则
2) improved neighbor function criterion
改进近邻函数准则
1.
Considering the difference of the use of clustering algorithms caused by the diffference of data distribution,on the base of the analysis of K-means algorithm,fuzzy C-means algorithm and genetic algorithm,a new algorithm was brought forward based on the genetic algorithm and the improved neighbor function criterion.
考虑到空间数据分布特性差异造成聚类算法采用的不同,在比较分析K均值算法、模糊均值算法和遗传算法的基础上,提出了改进的近邻函数准则,并有机整合形成遗传算法与改进近邻函数准则的新算法,综合了遗传算法的全局性概率搜索的优点,并考虑到空间数据内在的连接方式,在一定程度上较好地解决了数据的非致密非规则分布问题。
3) near-neighborhood criteria
近邻准则
1.
The method realizes classification of fault by near-neighborhood criteria of pattern recognition and cellular ant algorithm.
该方法利用模式识别中的近邻准则,使用元胞蚂蚁算法实现故障的分类,达到故障诊断的目的。
4) adjacent function
近邻函数
1.
The paper based on the parallel optimization character of Ant Algorithm,and import adjacent function,transforming object recognition problem to optimization problem,then advance a new method for object recognition.
基于蚁群算法的并行最优化特点,引入近邻函数,将目标识别问题转化为最优化聚类问题,提出了一种新的多目标识别算法。
5) nearest distance rule
最近邻准则
1.
Firstly KPCA is used to extract the features of human face image, and then SVM combined with the nearest distance rule is used for classification, which depends on the kernel principal components .
该方法首先利用核主元分析对人脸图像进行特征提取,然后依据支持向量机与最近邻准则对所提取的核主元特征进行分类识别。
6) Nearest neighbor weight function
近邻权函数
补充资料：近邻
挨得较近的邻居：远亲不如～。
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