ase: Adjacency Spectral Embedding (ASE)
In peterwmacd/multiness: MULTIplex NEtworks with Shared Structure
ase R Documentation
Adjacency Spectral Embedding (ASE)
Description
ase calculates the d-dimensional adjacency spectral embedding of a symmetric
n \times n matrix M.
Usage
ase(M,d)
Arguments
M
A symmetric matrix.
d
A non-negative integer embedding dimension.
Value
An n \times d matrix X, defined as U |S|^{1/2}
where S is a diagonal matrix of the d leading (in absolute value)
eigenvalues of M, and U is a matrix of the corresponding
eigenvectors.
X has an additional attribute "signs" which gives the sign of
the eigenvalue corresponding to each column.
If d=0, ase returns an n \times 1
matrix of zeros.
peterwmacd/multiness documentation built on Dec. 6, 2022, 12:59 a.m.
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Adjacency Spectral Embedding (ASE)
Description
ase calculates the d-dimensional adjacency spectral embedding of a symmetric
n \times n matrix M.
Usage
ase(M,d)
Arguments
M |
A symmetric matrix. |
d |
A non-negative integer embedding dimension. |
Value
An n \times d matrix X, defined as U |S|^{1/2} where S is a diagonal matrix of the d leading (in absolute value) eigenvalues of M, and U is a matrix of the corresponding eigenvectors.
X has an additional attribute "signs" which gives the sign of
the eigenvalue corresponding to each column.
If d=0, ase returns an n \times 1
matrix of zeros.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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