电子学报Issue(12)：2334-2338,5.DOI:10.3969/j.issn.0372-2112.2013.12.003
基于聚类分析的软件胎记特征选择
Feature Selection for Software Birthmark Based on Cluster Analysis
摘要
Abstract
The feature selection for software birthmark has a direct bearing on software recognition rate .We apply con-strained clustering to analyze software features .The within-and between-class distances of features are measured based on mutual in-formation .Information gain and penalty functions are constructed using homogeneous and heterogeneous software features respec-tively .Then the software birthmark features with high class distinction and minimum redundancy are selected .It is shown the algo-rithm provide an effective approach for software birthmark feature selection and optimization by analysis and comparison .关键词
胎记特征选择/聚类分析/信息度量/关联系数Key words
birthmark feature selection/clustering analysis/information measurement/correlation coefficient分类
信息技术与安全科学引用本文复制引用
罗养霞,房鼎益..基于聚类分析的软件胎记特征选择[J].电子学报,2013,(12):2334-2338,5.基金项目
国家自然科学基金（No ．61070176，No ．61170218，No ．61272461）；国家级大学生创新项目（No ．201311560008）；陕西省教育厅科研计划项目（No ．2013JK1200）；陕西省自然科学基础研究（No ．2012JM8034）；陕西省教育厅产业化项目 （）
