Kernel canonical correlation analysis for data combination of multiple-source datasets

Author:

Mitsuhiro MasakiORCID,Hoshino TakahiroORCID

Funder

Japan Society for the Promotion of Science

Publisher

Springer Science and Business Media LLC

Subject

General Medicine

Reference28 articles.

1. Adachi, K. (2016). Matrix-based introduction to multivariate data analysis. Singapore: Springer.

2. Akaho, S. (2001). A kernel method for canonical correlation analysis. Proceedings of the international meeting of the psychometric society. arXiv:cs/0609071 (arXiv preprint).

3. Alam, M. A., & Fukumizu, K. (2015). Higher-order regularized kernel canonical correlation analysis. International Journal of Pattern Recognition and Artificial Intelligence, 29, 1551005.

4. Alam, M. A., Fukumizu, K., & Wang, Y. P. (2018). Influence function and robust variant of kernel canonical correlation analysis. Neurocomputing, 304, 12–29.

5. Bach, F. R., & Jordan, M. I. (2002). Kernel independent component analysis. Journal of Machine Learning Research, 3, 1–48.

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