1) furthest neighbor method
最长聚类法
2) nearest neighbor clustering algorithm
最近邻聚类算法
1.
Forecasting models are established by using radial basis function(RBF) neural network based on nearest neighbor clustering algorithm(NNCA) and autoregressive integrated moving average(ARIMA).
根据基于最近邻聚类算法(NNCA)的径向基(RBF)神经网络和自回归求和滑动平均(AR IMA)两种方法,建立了各自的单项预测子模型,并利用RBF神经网络对两个单项预测子模型结果进行组合预测,得到最终的预测值。
2.
By analyzing nearest neighbor clustering algorithm, a new nearest neighbor clustering algorithm is proposed.
在分析现有最近邻聚类算法所存在问题的基础上,提出了一种先利用均值规格化的思想来确定算法的初始半径,然后根据启发式规则修改聚类半径的新的最近邻聚类算法。
3.
The new algorithm brings in the Nearest Neighbor Clustering Algorithm to initialize the number and center of clustering.
该算法引入了最近邻聚类算法来初始化FCM算法的聚类数和聚类中心。
3) Nearest neighbor-clustering algorithm
最近邻聚类算法
1.
The RBF network based on improved nearest neighbor-clustering algorithm is introduced at first.
应用基于最近邻聚类算法的径向基函数(RBF)网络建立了军用无人机研制费用预测模型,并采用该模型对某型军用无人机研制费用进行了预测。
2.
The nearest neighbor-clustering algorithm has a short training time,less work to calculate and the number of hidden units is not to be determinated in advance in the various RBFNN learning algorithms,the network is optimization after clustering and can be trained on-line,it is an adaptive clustering algorithm for nonlinear real-time system.
在RBF神经网络的各种学习算法中,最近邻聚类算法学习时间短、计算量小,不需要事先确定隐单元的个数,完成聚类所得到的网络是最优的,并且可以在线学习,是一种自适应聚类学习算法,非常适合非线性实时系统的应用。
4) Maximum tree cluster
最大树聚类法
1.
Methods To use the Maximum tree cluster method in the graph theory and the Fuzzy mathematics to find the serious disturbance created by some cluster procedures within the system cluster method.
方法利用图论和模糊数学中的最大树聚类法为标准,对不同的聚类过程进行分析,找出系统聚类法中某些聚类过程给聚类结果带来的严重影响的原因。
5) optimum partitioning clustering method
最优分割聚类法
1.
In the paper, the method for determining the deficit irrigation norm is put forward, by means of crop physiology ecology mutation characteristics, on the basis of calculating the soil water stress threshold value with optimum partitioning clustering method.
把最优分割聚类法应用到非充分灌溉条件下土壤水分胁迫阈值的计算,利用作物生理生态突变特征和最优分割理论,提出了确定非充分灌溉标准的方法。
6) minimum distance clustering
最小距离聚类法
1.
The arithmetic defines the distance matrix by the Euclidean distance and determines the orders of sensor fusion according to the minimum distance clustering.
该方法采用欧氏距离定义了距离矩阵,利用最小距离聚类法确定各传感器融合的次序,可以克服以往方法中关系矩阵的主观影响,提高数据融合结果的客观性。
2.
The arithmetic improves the objectivity of data fusion by the orders of sensor fusion according to the minimum distance clustering.
在多传感器采集数据基础上,利用最小距离聚类法确定各传感器融合的次序,提高数据融合结果的客观性。
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