high dimensional data space 高维数据空间
Venkatasubramanian and colleagues performed a series of tests of their new method with "synthetic data" - data points in a "high-dimensional space."
文卡和同事们用“模拟数据”(“高维空间”的数据点)完成了这种新方法的一系列测试。
By designing projection index it projects high dimensional data set to low dimensional space to reveal the internal structures and characters of high dimensional dataset.
投影寻踪方法是根据特定的应用意义设计相应的投影指标，把高维数据集投影到低维数据空间后进行分析，揭示高维数据集内部的结构和特征。
Venkatasubramanian and colleagues performed a series of tests of their new method with "synthetic data" - data points in a "high-dimensional space. "
文卡和同事们用“模拟数据”（“高维空间”的数据点）完成了这种新方法的一系列测试。
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