| compute_coefficients(const ublas::vector< float_t > &vector, ublas::vector< float_t > &coefficients) const | imaging::LinearPca | |
| compute_coefficients(const ublas::matrix< float_t > &matrix, ublas::matrix< float_t > &coefficients) const | imaging::LinearPca | |
| compute_vector(const ublas::vector< float_t > &coefficients, ublas::vector< float_t > &vector) const | imaging::LinearPca | |
| data_dimension() const | imaging::LinearPca | |
| dimension() const | imaging::LinearPca | |
| LinearPca() (defined in imaging::LinearPca) | imaging::LinearPca | [inline] |
| LinearPca(const ublas::matrix< float_t > &data) | imaging::LinearPca | |
| LinearPca(const ublas::matrix< float_t > &data, size_t dimension) | imaging::LinearPca | |
| mean() const | imaging::LinearPca | |
| norm(const ublas::vector< float_t > &vector) const | imaging::LinearPca | |
| squared_norm_derivative(const ublas::vector< float_t > &vector, const ublas::vector< float_t > &direction) const | imaging::LinearPca | |
| standard_deviations() const | imaging::LinearPca |
1.5.5