pca.hpp File Reference

GLM_GTX_pca More...

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Functions
template<length_t D, typename T , qualifier Q, typename I >
GLM_FUNC_DECL mat< D, D, T, Q >	computeCovarianceMatrix (I const &b, I const &e)
	Compute a covariance matrix form a pair of iterators b (begin) and e (end) of a container with relative coordinates (e.g., relative to the center of gravity of the object) Dereferencing an iterator of type I must yield a vec<D, T, Qgt;
template<length_t D, typename T , qualifier Q, typename I >
GLM_FUNC_DECL mat< D, D, T, Q >	computeCovarianceMatrix (I const &b, I const &e, vec< D, T, Q > const &c)
	Compute a covariance matrix form a pair of iterators b (begin) and e (end) of a container with absolute coordinates and a precomputed center of gravity c Dereferencing an iterator of type I must yield a vec<D, T, Qgt;
template<length_t D, typename T , qualifier Q>
GLM_INLINE mat< D, D, T, Q >	computeCovarianceMatrix (vec< D, T, Q > const *v, size_t n)
	Compute a covariance matrix form an array of relative coordinates v (e.g., relative to the center of gravity of the object) More...
template<length_t D, typename T , qualifier Q>
GLM_INLINE mat< D, D, T, Q >	computeCovarianceMatrix (vec< D, T, Q > const *v, size_t n, vec< D, T, Q > const &c)
	Compute a covariance matrix form an array of absolute coordinates v and a precomputed center of gravity c More...
template<length_t D, typename T , qualifier Q>
GLM_FUNC_DECL unsigned int	findEigenvaluesSymReal (mat< D, D, T, Q > const &covarMat, vec< D, T, Q > &outEigenvalues, mat< D, D, T, Q > &outEigenvectors)
	Assuming the provided covariance matrix covarMat is symmetric and real-valued, this function find the D Eigenvalues of the matrix, and also provides the corresponding Eigenvectors. More...
template<typename T , qualifier Q>
GLM_FUNC_DECL void	sortEigenvalues (vec< 2, T, Q > &eigenvalues, mat< 2, 2, T, Q > &eigenvectors)
	Sorts a group of Eigenvalues&Eigenvectors, for largest Eigenvalue to smallest Eigenvalue. More...
template<typename T , qualifier Q>
GLM_FUNC_DECL void	sortEigenvalues (vec< 3, T, Q > &eigenvalues, mat< 3, 3, T, Q > &eigenvectors)
	Sorts a group of Eigenvalues&Eigenvectors, for largest Eigenvalue to smallest Eigenvalue. More...
template<typename T , qualifier Q>
GLM_FUNC_DECL void	sortEigenvalues (vec< 4, T, Q > &eigenvalues, mat< 4, 4, T, Q > &eigenvectors)
	Sorts a group of Eigenvalues&Eigenvectors, for largest Eigenvalue to smallest Eigenvalue. More...

Detailed Description

GLM_GTX_pca

See also

Core features (dependence)

GLM_EXT_scalar_relational (dependence)

Definition in file pca.hpp.