福州大学学报（自然科学版）2017，Vol.45Issue(1)：44-49,6.DOI:10.7631/issn.1000-2243.2017.01.0044
投影相关自适应子空间分割
Projection correlation adaptive subspace segmentation
摘要
Abstract
As constructing the affine matrix,satisfying data sparsity will reduce its group effect,on the contrary,it does not help to select data.To solve these problems,we propose projection correlation adaptive subspace segmentation (PCASS).Trace lasso can determine affine matrix adaptively by the correlation of the sample data,and can extract features those are useful to discriminate types as well.Experimental results on six gene expression data show that this method is superior to the other existing subspace segmentation.关键词
子空间分割/基因表达数据/降维Key words
subspace segmentation/gene expression data/dimension reduction分类
信息技术与安全科学引用本文复制引用
陈慧娟,陈晓云..投影相关自适应子空间分割[J].福州大学学报（自然科学版）,2017,45(1):44-49,6.基金项目
福建省自然科学基金资助项目(2014J01009) （2014J01009）
