计算机应用与软件2013，Vol.30Issue(5)：226-228,3.DOI:10.3969/j.issn.1000-386x.2013.05.064
一种基于支持向量机的缺失值填补算法
A SUPPORT VECTOR MACHINE-BASED MISSING VALUES FILLING ALGORITHM
张婵1
作者信息
- 1. 广东轻工职业技术学院 广东广州510300
- 折叠
摘要
Abstract
In this paper,we present a support vector machine-based missing values filling method.In this method,missing values filling is divided into two cases,i.e.,the continuous attributes filling and the class attributes filling.For the continuous attributes case,support vector machine regression is used to predict the missing values； for the class attributes case,support vector machine classification is used to predict the missing values.Comparative experiments on several UCI high-dimensi0nal data sets and MINIT handwritten Arabic numerals data set show that the proposed algorithm has higher recovery rate than the conventional mean values filling method and decision tree regression-based filling method.关键词
缺失值/支持向量机/回归/分类Key words
Missing values /Support vector machine/ Regression /Classification分类
信息技术与安全科学引用本文复制引用
张婵..一种基于支持向量机的缺失值填补算法[J].计算机应用与软件,2013,30(5):226-228,3.
