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A Survey on Canonical Correlation Analysis
IEEE Transactions on Knowledge and Data Engineering, 2021In recent years, the advances in data collection and statistical analysis promotes canonical correlation analysis (CCA) available for more advanced research. CCA is the main technique for two-set data dimensionality reduction such that the correlation between the pairwise variables in the common subspace is mutually maximized.
Xinghao Yang +3 more
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On the Limiting Distribution of the Canonical Correlations
Biometrika, 1941Not ...
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THE STATISTICAL SIGNIFICANCE OF CANONICAL CORRELATIONS
Biometrika, 1941Not ...
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Canonical correlations and canonical variates
1985In this chapter we shall summarize the essential elements of the theory of canonical correlations and variates. We shall begin by formulating the problem. The derivation of canonical correlations and canonical variates will then be taken up. Canonical analysis can be derived in several ways.
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Canonical random correlation analysis
Proceedings of the 2010 ACM Symposium on Applied Computing, 2010Canonical correlation analysis (CCA) is one of the most well-known methods to extract features from multi-view data and has attracted much attention in recent years. However, classical CCA is unsupervised and does not take class label information into account.
Jianchun Zhang, Daoqiang Zhang
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Generalised Canonical Correlation Analysis
2000Canonical Correlation Analysis [3] is used when we have two data sets which we believe have some underlying correlation. In this paper, we derive a new family of neural methods for finding the canonical correlation directions by solving a generalized eigenvalue problem. Based on the differential equation for the generalized eigenvalue problem, a family
Zhenkun Gou, Colin Fyfe
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Parametric Canonical Correlation Analysis
2019 IEEE International Conference on Cloud Computing Technology and Science (CloudCom), 2019Generally, suppose a wave is a linear combination of multiple basis(Not necessarily a sine or cosine waves, it could also be a wavelet, etc.), different types of waves may be similar on some basis, but vary greatly on a certain basis. To address this problem, we introduce a PCCA-based feature extraction method that extends canonical correlation ...
Shangyu Chen +2 more
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Influence in Canonical Correlation Analysis
Psychometrika, 1992The perturbation theory of the generalized eigenproblem is used to derive influence functions of each squared canonical correlation coefficient and the corresponding canonical vector pair. Three sample versions of these functions are described and some properties are noted.
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On canonical correlation and redundancy
九州大学大学院総合理工学報告, 1988Ke, Hui-xin, Asano, Choichiro
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