矢量数据包含由 x 和 y 坐标，经常还有 z（立面）坐标所定义的几何图形。

Vector data contains geometric shapes defined by x and y coordinates, and frequently z (elevation) coordinates.

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本文讨论多元质量数据的矢量分析方法，几何变换，坐标旋转和初始变量的主分量计算不同变量的主分量值。

This paper deals with the multivariate vector analysis of quality data by geometric transformation, rotating coordinates and computation of the principal component of initial variables.

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模式识别；可视化；多元数据；图表示；几何代数；子空间坐标；优化。

Pattern Recognition; Visualization; Multivariate Data; Graphical Representation; Geometric Algebra; Subspace Coordinates; Optimization.

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