.png){kind=icon}
返回
Constrained subspace classifier for high dimensional datasets
.png){kind=icon}
PRE
AI
DOI：10.1016/j.omega.2015.05.009.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Datasets with significantly larger number of features, compared to samples, pose a serious challenge in supervised learning. Such datasets arise in various areas including business analytics. In this paper, a new binary classification method called constrained subspace classifier (CSC) is proposed for such high dimensional datasets. CSC improves on an earlier proposed classification method called local subspace classifier (LSC) by accounting for the relative angle between subspaces while approximating the classes with individual subspaces. CSC is formulated as an optimization problem and can be solved by an efficient alternating optimization technique. Classification performance is tested in publicly available datasets. The improvement in classification accuracy over LSC shows the importance of considering the relative angle between the subspaces while approximating the classes. Additionally, CSC appears to be a robust classifier, compared to traditional two step methods that perform feature selection and classification in two distinct steps. (c) 2015 Elsevier Ltd. All rights reserved.
Keyword:
Constrained subspace classifier
High dimensional datasets
Principal angles
Local subspace classifier
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
O
IF:
7.2
论文数:
3.7K
被引数:
1.4W
机构
引用论文
Geochemical evidence for seabed fluid flow linked to the subsea permafrost outer border in the South Kara Sea.png)
Geochemistry
OAAI
GeochemistryIF0
OAAI分享收藏Local structural change in GaCrN grown by radio frequency plasma-assisted molecular-beam epitaxy
PREAI
分享收藏
Diffuse large B-cell lymphoma outcome prediction by gene-expression profiling and supervised machine learningNATURE MEDICINE
NATURE MEDICINEIF50
PREAI
分享收藏Sociotechnical scenarios as a new policy tool to explore system innovations: Co-evolution of technology and society in The Netherland’s electricity domain社会技术情景作为探索系统创新的新政策工具: 荷兰电力领域技术与社会的共同进化InnovationOAAI
InnovationIF0
OAAI分享收藏
查看更多内容