高维空间数据 high dimensional space data
多源高维空间数据分类 high dimensional multisource spatial data classification
边界单元法降低了求解空间的维数，减少了离散线性方程组的阶数，输入数据比较少，而工作效率高。
This method reduces the number of space dimension, makes the equation system lower order, less data input and higher efficiency .
应用主元分析方法将高维数据转换到低维数据空间，这使得过程监测可以在低维的空间内进行。
High dimension was changed into low dimension by using principal component analysis method, process detecting could be carried out in the low dimension space.
它将高维输入空间的数据映射到一个低维、规则的栅格上，从而可以利用可视化技术探测数据的固有特性。
It projects input space on prototypes of a low - dimensional regular grid that can be effectively utilized to visualize and explore properties of data.
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