纺织高校基础科学学报2016，Vol.29Issue(4)：478-483,6.DOI:10.13338/j.issn.1006-8341.2016.04.011
基于TL1罚的稀疏主成分分析
Sparse principal component analysis based on transformed L1 penalty
摘要
Abstract
Transformed L1 penalty sparse principal component analysis was proposed by replacing L1 penalty with transformed L1 penalty based on sparse principal component analysis,and a thresholding iteration algorithm was given for transformed L1 penalty sparse principal component analysis.Finally,taking vegetable selection as an example,the numerical simulation results show that transformed L1 penalty sparse principal component analysis performs better.关键词
稀疏主成分分析/TL1罚/阈值迭代算法Key words
sparse principal component analysis/transformed L1 penalty/iterative thresholding algorithm分类
数理科学引用本文复制引用
任佳佳,李海洋,张倩..基于TL1罚的稀疏主成分分析[J].纺织高校基础科学学报,2016,29(4):478-483,6.基金项目
国家自然科学基金资助项目(11271297) （11271297）
陕西省自然科学基金资助项目(2015JM1012) （2015JM1012）
