中国计量大学学报2017，Vol.28Issue(1)：113-118,6.DOI:10.3969/j.issn.2096-2835.2017.01.020
典型相关分析综述
Survey on canonical correlation analysis
摘要
Abstract
Correlation analysis between data has become an important part of large data processing.The canonical correlation analysis method and its extensions have been widely used in various fields.The multiple canonical correlation analysis is used to solve the feature fusion for multi-data sets.The kernel canonical correlation analysis is used to find out the non-linear relationship between the data.The discriminant canonical correlation analysis is used to analyze the data which carry category information.The sparse canonical correlation analysis is used to solve the data with too many characteristics.In this paper,the principles of the canonical correlation analysis method and its various extensions are introduced.At the end of this paper,the prospects and outlook of the canonical correlation analysis are discussed.关键词
典型相关分析/多变量特征融合/广义特征值问题Key words
canonical correlation analysis/multivariate feature fusion/Lagrange multiplier method分类
信息技术与安全科学引用本文复制引用
李有梅,梁珣..典型相关分析综述[J].中国计量大学学报,2017,28(1):113-118,6.基金项目
国家自然科学基金资助项目(No.11301494). （No.11301494）
