CCA-Zoo: A collection of Regularized, Deep Learning based, Kernel, and Probabilistic CCA methods in a scikit-learn style framework-Reference-Cited by-同舟云学术

CCA-Zoo: A collection of Regularized, Deep Learning based, Kernel, and Probabilistic CCA methods in a scikit-learn style framework

Published:2021-12-18 Issue:68 Volume:6 Page:3823
ISSN:2475-9066
Container-title:Journal of Open Source Software
language:
Short-container-title:JOSS

Author:

Chapman James^ORCID,Wang Hao-Ting^ORCID

Publisher

The Open Journal

Link

https://joss.theoj.org/papers/10.21105/joss.03823.pdf

Reference24 articles.

1. Relations Between Two Sets of Variates

2. Canonical ridge and econometrics of joint production

3. A probabilistic interpretation of canonical correlation analysis, Bach, Francis R and Jordan, Michael I, 2005, https://statistics.berkeley.edu/sites/default/files/tech-reports/688.pdf, Technical Report 688, Department of Statistics, University of California Berkeley

4. Canonical Correlation Analysis: An Overview with Application to Learning Methods

5. A penalized matrix decomposition, with applications to sparse principal components and canonical correlation analysis

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