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Understanding Canonical Correlation Analysis by Lovelle Belaca-ol is a document available to read on EtoBox.
What is Understanding Canonical Correlation Analysis about?
Canonical correlation analysis seeks to find linear combinations of variables that have maximum correlation between sets. It identifies weighted linear composites of variables that maximize the overlap in their distributions. The method was introduced by Hotelling in 1936 to reduce large amounts of data while preserving important relationships. It allows visualization of relationships between multiple variables in fewer statistics, similar to principal component analysis.
- Author
- Lovelle Belaca-ol
- Language
- EN