Generalized Constrained Canonical Correlation Analysis
By Yoshio Takane, Heungsun Hwang. 2002
52 citations recorded by the source corpus.
Subfields: Analytical Chemistry, Artificial Intelligence, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/7651c0cbbe236cb81e90865b1f8030a73adfa4bf
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Analytical Chemistry
- Sunho Jung
- Yoshio Takane
- Pierre Legendre
- Jari Oksanen
- C. T. ter Braak
- Heungsun Hwang
- Marko Sarstedt
- A. Supriyanto
In Artificial Intelligence
- Jari Oksanen
- Pierre Legendre
- C. T. ter Braak
- Yoshio Takane
- Jasper A. Vrugt
- Eric Laloy
- Thomas Wöhling
In Statistics and Probability
- Heungsun Hwang
- Sunho Jung
- Pierre Legendre
- Yoshio Takane
- Jari Oksanen
- C. T. ter Braak
- Jörg Henseler
- Michel Tenenhaus
Citations in the corpus
- Generalized Constrained Redundancy Analysis (2006, background): “Permutation tests allow us to test the number of significant redundancy components (Takane and Hwang, 2002).”
- Regularized linear and kernel redundancy analysis (2007, background): “See Legendre and Legendre (1998), ter Braak andŠmilauer (1998), and Takane and Hwang (2002) for more general discussions on the permutation tests in similar contexts.”
- Testing the significance of canonical axes in redundancy analysis (2011, methodology): “Takane & Hwang (2005) also suggested that the permutation test used by Takane & Hwang (2002) in generalized canonical correlation analysis can be adapted to RDA when the multivariate normality assumption does not hold; it leads to the forward permutation procedure described in the present paper.”