Selection of a Representative Sample

被引：0
|
作者：
Herbert K. H. Lee
Matthew Taddy
Genetha A. Gray
机构：
[1] University of California,Department of Applied Mathematics and Statistics
[2] University of Chicago,undefined
[3] Sandia National Laboratories,undefined
[4] Baskin School of Engineering,undefined
来源：
Journal of Classification | 2010年 / 27卷
关键词：
Bayesian statistics; Clustering; Mixture model; Data reduction.;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Sometimes a larger dataset needs to be reduced to just a few points, and it is desirable that these points be representative of the whole dataset. If the future uses of these points are not fully specified in advance, standard decision-theoretic approaches will not work. We present here methodology for choosing a small representative sample based on a mixture modeling approach.
引用
收藏
页码：41 / 53
页数：12
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