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:

$$\begin{array}{cccc}\mathit{x}(0),& \mathit{x}(1),& \mathit{x}(0),& \dots ,\end{array}$$

the mean vector $\mathit{m}$, and $N$ eigenvectors

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

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

$$\mathit{z}(t)={\mathit{A}}^{\mathsf{T}}(\mathit{x}(t)-\mathit{m}).$$

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