信阳师范学院学报（自然科学版）2017，Vol.30Issue(1)：140-145,6.DOI:10.3969/j.issn.1003-0972.2017.01.031
基于聚类树的多类标文本分类算法研究
Research on Multi-label Text Classification Algorithm Based on Cluster Tree
摘要
Abstract
A new multi⁃label classification algorithm———Multi⁃Label Cluster Tree was presented. This algorithm combined the characteristics of transitional single⁃label cluster tree, and used the“clustering by label information algo⁃rithm” to divide the two space recursively until the clusters are sufficiently simple by the feature paces and the cluste⁃ring information paces. Experimental results proved that the Multi⁃Label Cluster Tree algorithm outperforms the some existing popular classification algorithm, and the ability of classification is stronger than one of the sorting .关键词
文本分类/聚类树分类/多类标分类Key words
text classification/cluster tree classification/multi-label classification分类
信息技术与安全科学引用本文复制引用
郭颂,姚建峰,周鹏..基于聚类树的多类标文本分类算法研究[J].信阳师范学院学报（自然科学版）,2017,30(1):140-145,6.基金项目
国家航空科学基金项目（2015ZD55005）；河南省科技攻关计划项目（152102210137）；河南省教育技术装备和实践教育重点研究课题 （）
