为了计算项目集的支持度，提出了数据库特征矩阵和特征矢量的概念。
To calculate the support of an item-set the authors define characteristic matrix and characteristic vector of debase.
所以，对光谱数据进行特征提取、实现数据压缩是非常必要的，即将一个大光谱数据集表示为几个特征矢量的线性组合。
It is very necessary to extract spectrum feature and compress spectral data, that is, a large spectrum dataset can be represented by the linear combination of some eigenvectors.
文中针对表示波浪面的数据集的特性，采用了一种简单的节点法矢量算法。
According to the characteristic of the wave field data, a simple algorithm is used to calculate the normal vector at the nodes.
文中针对表示波浪面的数据集的特性，采用了一种简单的节点法矢量算法。
According to the characteristic of the wave field data, a simple algorithm is used to calculate the normal vector at the nodes.
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