Preferred Label : Canonical Correlation Analysis;
MeSH definition : Mathematical procedure that transforms vectors of variables into canonical variate
pairs and finds their correlation to describe strength of association.;
Définition CISMeF : In statistics, canonical-correlation analysis (CCA), also called canonical variates
analysis, is a way of inferring information from cross-covariance matrices. If we
have two vectors X (X1, ..., Xn) and Y (Y1, ..., Ym) of random variables, and
there are correlations among the variables, then canonical-correlation analysis will
find linear combinations of X and Y which have maximum correlation with each other.
T. R. Knapp notes that virtually all of the commonly encountered parametric tests
of significance can be treated as special cases of canonical-correlation analysis,
which is the general procedure for investigating the relationships between two sets
of variables. The method was first introduced by Harold Hotelling in 1936, although
in the context of angles between flats the mathematical concept was published by Jordan
in 1875 (source https://en.wikipedia.org/wiki/Canonical_correlation).;
MeSH synonym : Analysis, Canonical Correlation; Canonical Correlation Analyses; Correlation Analysis, Canonical;
CISMeF acronym : CCA;
Related MeSH term : Canonical Correlations; Correlation, Canonical; Canonical Variates; Variate, Canonical;
Origin ID : D000089342;
UMLS CUI : C0681928;
Automatic exact mappings (from CISMeF team)
- Record concept(s)
- Semantic type(s)
Mathematical procedure that transforms vectors of variables into canonical variate
pairs and finds their correlation to describe strength of association.
In statistics, canonical-correlation analysis (CCA), also called canonical variates
analysis, is a way of inferring information from cross-covariance matrices. If we
have two vectors X (X1, ..., Xn) and Y (Y1, ..., Ym) of random variables, and
there are correlations among the variables, then canonical-correlation analysis will
find linear combinations of X and Y which have maximum correlation with each other.
T. R. Knapp notes that virtually all of the commonly encountered parametric tests
of significance can be treated as special cases of canonical-correlation analysis,
which is the general procedure for investigating the relationships between two sets
of variables. The method was first introduced by Harold Hotelling in 1936, although
in the context of angles between flats the mathematical concept was published by Jordan
in 1875 (source https://en.wikipedia.org/wiki/Canonical_correlation).
