Multidimensional scaling to simplify multidimensional data is an attempt "to reduce the dimensionality of data by finding key attributes defining most of the behavior, " says Venkatasubramanian.
用文卡的话说，简化多维数据的多维标度就是试图“通过找出定义大多数行为的关键属性来降低数据的维数”。
Multidimensional scaling is a powerful tool for dimensionality reduction in the field of pattern recognition and data mining.
多维尺度分析是模式识别与数据挖掘领域一个有力的降维工具。
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