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”。
The algorithm is impractical on large data sets, unless it USES dimensionality reduction, sampling, or partitioning - all of which reduce recommendation quality.
在大数据集的情况下，这样的算法不可行，除非使用维度降低、抽样或区隔——所有这些都降低了推荐的品质。
For improving forecast accuracy and the efficiency of network training, we USES principle components analysis method to reduce the dimensionality of the feature space.
为了进一步提高预测精度和网络训练的效率，对众多的预报因子采用主成分分析的方法进行降维处理。
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