Steinley Douglas, Brusco Michael J
a University of Missouri-Columbia .
b Florida State University .
Multivariate Behav Res. 2008 Jan-Mar;43(1):77-108. doi: 10.1080/00273170701836695.
A variance-to-range ratio variable weighting procedure is proposed. We show how this weighting method is theoretically grounded in the inherent variability found in data exhibiting cluster structure. In addition, a variable selection procedure is proposed to operate in conjunction with the variable weighting technique. The performances of these procedures are demonstrated in a simulation study, showing favorable results when compared with existing standardization methods. A detailed demonstration of the weighting and selection procedure is provided for the well-known Fisher Iris data and several synthetic data sets.
提出了一种方差与范围比变量加权程序。我们展示了这种加权方法如何在理论上基于具有聚类结构的数据中固有的变异性。此外，还提出了一种与变量加权技术协同操作的变量选择程序。在模拟研究中展示了这些程序的性能，与现有标准化方法相比显示出良好的结果。针对著名的费舍尔鸢尾花数据集和几个合成数据集，提供了加权和选择程序的详细演示。
