Missing data and imputation methods in partition of variables

被引：0
|
作者：
da Silva, AL
Saporta, G
Bacelar-Nicolau, H
机构：
来源：
CLASSIFICATION, CLUSTERING, AND DATA MINING APPLICATIONS | 2004年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
We deal with the effect of missing data under a "Missing at Random Model" on classification of variables with non-hierarchical methods. The partitions are compared by the Rand index.
引用
收藏
页码：631 / 637
页数：7
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