pcas

Functions

int main(int argc, char *argv[])

pcas [ option ] evfile [ infile ]

• -l int

  • length of vector \((1 \le L)\)

• -m int

  • order of vector \((0 \le M)\)

• -n int

  • number of principal components \((1 \le N \le L)\)

• evfile str

  • double-type mean vector and eigenvectors

• infile str

  • double-type vector sequence

• stdout

  • double-type principal component score

The input of this command is the \(M\)-th order vectors:

\[ \begin{array}{cccc} \boldsymbol{x}(0), & \boldsymbol{x}(1), & \boldsymbol{x}(0), & \ldots, \end{array} \]

the mean vector \(\boldsymbol{m}\), and \(N\) eigenvectors

\[ \boldsymbol{A} = \left[ \begin{array}{cccc} \boldsymbol{e}(0) & \boldsymbol{e}(1) & \cdots & \boldsymbol{e}(N-1) \end{array} \right]. \]

The pricipal component score of \(\boldsymbol{x}(t)\) is calculated as

\[ \boldsymbol{z}(t) = \boldsymbol{A}^{\mathsf{T}} (\boldsymbol{x}(t) - \boldsymbol{m}). \]

In the below example, the principal component scores of data.d are calculated using the mean vector and the eigen vectors in eigvec.dat.

pcas -l 3 -n 2 eigvec.dat < data.d > score.dat

Parameters:

• argc – [in] Number of arguments.

• argv – [in] Argument vector.

Returns:

0 on success, 1 on failure.

See also

pca