计算机与现代化Issue(7)：172-175,4.DOI:10.3969/j.issn.1006-2475.2011.07.047
文本特征选择算法MI的改进
Improvement of Mutual Information of Feature Extraction
方志龙1
作者信息
- 1. 华南师范大学计算机学院,广东,广州,510631
- 折叠
摘要
Abstract
Feature extraction is a crucial part in text mining. After word splitting, the docs of the train set form the original feature space, but the dimension of the space is usually very large, it reaches hundreds of thousands of demensions. After feature extraction, not only the dimension of the space decreases sharply, but also, the impact of the noise is reduced. Finally, speed and precision of the classifier are both increased. This paper improves the original mutual information method, and proves it' s vilid in the experiment.关键词
特征选择/MI/IG/标准差Key words
feature extraction/ MI/ information gain(IG) / mean square error分类
信息技术与安全科学引用本文复制引用
方志龙..文本特征选择算法MI的改进[J].计算机与现代化,2011,(7):172-175,4.
