A subspace graphical representation model of multivariate data is proposed, which unites several traditional multivariate data visualization methods into the same representation framework.
本文提出多元数据的子空间坐标图表示模型，该模型可以将这些传统多元图表示方法统一到同一个表示框架。
Multivariate data sets suffer from the problem of representation, since a dimensionality above 3 is beyond the capability of plotting programs.
多元数据集遭受着表征的问题，因为三维以上超越了绘图程序的能力。
Pattern Recognition; Visualization; Multivariate Data; Graphical Representation; Geometric Algebra; Subspace Coordinates; Optimization.
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.
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。
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