A Tutorial on Canonical Correlation Methods

Autor: Uurtio, Viivi, Monteiro, João M., Kandola, Jaz, Shawe-Taylor, John, Fernandez-Reyes, Delmiro, Rousu, Juho

Publikováno v: ACM Computing Surveys, Vol. 50, No. 6, Article 95. Publication date: October 2017

Canonical correlation analysis is a family of multivariate statistical methods for the analysis of paired sets of variables. Since its proposition, canonical correlation analysis has for instance been extended to extract relations between two sets of

Externí odkaz: http://arxiv.org/abs/1711.02391

Sparse non-linear Canonical Correlation Analysis

Autor: Uurtio, Viivi, Sahely Bhadra, Rousu, Juho

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::96fc2cdb93c3229408a325ac1fddefd2

Canonical correlation methods for exploring microbe-environment interactions in deep subsurface

Autor: Uurtio, Viivi, Bomberg, Malin, Nybo, Kristian, Itävaara, Merja, Rousu, Juho

Publikováno v: Uurtio, V, Bomberg, M, Nybo, K, Itävaara, M & Rousu, J 2015, Canonical correlation methods for exploring microbe-environment interactions in deep subsurface . in Discovery Science . Springer, Lecture Notes in Computer Science, vol. 9356, pp. 299-307, 18th International Conference on Discovery Science, DS 2015, Banff, Alberta, Canada, 4/10/15 . https://doi.org/10.1007/978-3-319-24282-8_25

In this study, we apply non-linear kernelized canonical correlation analysis (KCCA) as well as primal-dual sparse canonical correlation analysis (SCCA) to the discovery of correlations between sulphate reducing bacterial taxa and their geochemical en

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=355e65625b88::64e52e7f51e53fce63b0582b09942210
https://cris.vtt.fi/en/publications/5053b832-6b1b-426f-9243-216ebd944d1c