求翻译：为了解决这个问题，李静伟等[6]提出了基于共享近邻的自适应高斯核函数SN（xi，xj），对于数据集中的任意两个对象xi，xj，其相似度SN（xi，xj）定义如式（1）所示：是什么意思？

To solve this problem , Li Jingwei et al [6 ] proposed a neighborhood based on shared adaptive Gaussian kernel SN (xi, xj), for any two objects in the data set xi, xj, its similarity SN (xi, xj) defined

In order to resolve this problem, Li Jing Wei (6made based on shared neighbors of the adaptive Gaussian kernel function SN (Xi, xj), for the data set of any two objects Xi, xj, its similarity SN (Xi, xj) is defined as, (1) shown below:

In order to solve this problem, Li Jing great and so on( 6) proposed based on shares close neighbor's auto-adapted Gauss nuclear function SN(xi, xj), regarding data set in random two object xi, xj, its similarity SN(xi, xj) definition like type (1) shows:

In order to solve this problem, such as Li Jingwei [6] proposed shared nearest neighbor based on Adaptive Gaussian kernel SN (XI,XJ), any two objects for the data set XI,XJ, the similarity between SN (XI,XJ) defines as equation (1) below:

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