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

页码：631 / 637

页数：7

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