Description Usage Arguments Value Author(s) References See Also Examples

`scg_eps`

computes *|v[i]-Pv[i]|*, where
*v[i]* is the *i*th eigenvector in `V`

and *P* is the
projector corresponding to the `mtype`

argument.

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`V` |
A numeric matrix of (eigen)vectors assumed normalized. The vectors
are to be stored column-wise in |

`groups` |
A vector of |

`mtype` |
The type of semi-projector used for the SCG. For now “symmetric”, “laplacian” and “stochastic” are available. |

`p` |
A probability vector of length |

`norm` |
Either “row” or “col”. If set to “row” the rows of the Laplacian matrix sum to zero and the rows of the stochastic matrix sum to one; otherwise it is the columns. |

`scg_eps`

returns with a numeric vector whose *i*th
component is *|v[i]-Pv[i]|* (see Details).

David Morton de Lachapelle, http://people.epfl.ch/david.morton.

D. Morton de Lachapelle, D. Gfeller, and P. De Los Rios,
Shrinking Matrices while Preserving their Eigenpairs with Application to the
Spectral Coarse Graining of Graphs. Submitted to *SIAM Journal on
Matrix Analysis and Applications*, 2008.
http://people.epfl.ch/david.morton

scg-method and `scg`

.

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