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1)  Pointoblique relatedness
点、斜关联度
2)  Ponit correlation degree
点关联度
3)  slope relational degree
斜率关联度
1.
First,the algorithm regards pixel neighboring sequence in overlapping area as referential sequence and compared sequence because of the relation of center point and neighboring points,then computes grey relational degree of referential sequence and compared sequence using slope relational degree,finally finds an optimal seam line which is less differences in color and texture between the images.
该算法根据中心像元与周围像元之间的临近像元效应,在两景影像重叠区域选择中心像元邻域作为参考序列与比较序列,利用斜率关联度计算两者之间的灰关联度,据此找到一条影像色调和纹理差异较小的镶嵌线。
4)  node link
节点关联度
1.
Through the definition of node link based on information centrality which Fortunato proposed and the selection of the clustering center and the clustering of the node according node link,the approach identified the network to k communities,then identified the ideally community structure according modularity.
算法基于Fortunato等人提出的边的信息中心度,定义了节点的关联度,并通过节点关联度矩阵来进行聚类中心的选择和节点聚类,从而将复杂网络划分成k个社团,然后通过模块度来确定网络理想的社团结构。
5)  degree of grey slope incidence
灰色斜率关联度
6)  grey slope coefficient correlation degree
灰色斜率关联度
1.
BP artificial neural network model of groundwater dynamic and analysis on the improved grey slope coefficient correlation degree
地下水动态的BP神经网络模型及改进的灰色斜率关联度分析
补充资料:关联度
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性质:表征两个事物之间的关联程度,在数学上是指两函数相似的程度,是灰色系统分析的一个术语。它用关联系数表示。关联系数,式中Δmin,Δmax分别是母因素与子因素时间数列在各时刻绝对差值的最小和最大值,Δij(tk)是tk时刻的绝对差值。

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