Selecting feature subset with sparsity and low redundancy for unsupervised learning

doi:http://dx.doi.org/10.1016/j.knosys.2015.06.008

	Selecting feature subset with sparsity and low redundancy for unsupervised learning
	Han, Jiuqi; Sun, Zhengya; Hao, Hongwei
发表期刊	Knowledge-Based Systems
	2015-06
卷号	86 页码:210 - 223
关键词	Unsupervised Feature Selection Nonnegative Spectral Analysis Sparsity And Low Redundancy
DOI	http://dx.doi.org/10.1016/j.knosys.2015.06.008
引用统计
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/40854
专题	复杂系统认知与决策实验室_听觉模型与认知计算
推荐引用方式 GB/T 7714	Han, Jiuqi,Sun, Zhengya,Hao, Hongwei. Selecting feature subset with sparsity and low redundancy for unsupervised learning[J]. Knowledge-Based Systems,2015,86:210 - 223.
APA	Han, Jiuqi,Sun, Zhengya,&Hao, Hongwei.(2015).Selecting feature subset with sparsity and low redundancy for unsupervised learning.Knowledge-Based Systems,86,210 - 223.
MLA	Han, Jiuqi,et al."Selecting feature subset with sparsity and low redundancy for unsupervised learning".Knowledge-Based Systems 86(2015):210 - 223.