spec_repr: Spectral Representation
In aaamini/nett: Network Analysis and Community Detection
spec_repr R Documentation
Spectral Representation
Description
Provides a spectral representation of the network (with regularization)
based on the adjacency or Laplacian matrices
Usage
spec_repr(A, K, type = "lap", tau = 0.25, ignore_first_col = FALSE)
Arguments
A
Adjacency matrix (n x n)
K
Number of communities
type
("lap" | "adj" | "adj2") Whether to use Laplacian or
adjacency-based spectral clustering
tau
Regularization parameter for the Laplacian
ignore_first_col
whether to ignore the first eigen vector
Value
The n x K matrix resulting from a spectral embedding of the network into
R^K
aaamini/nett documentation built on Nov. 12, 2022, 6:25 p.m.
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| spec_repr | R Documentation |
Spectral Representation
Description
Provides a spectral representation of the network (with regularization) based on the adjacency or Laplacian matrices
Usage
spec_repr(A, K, type = "lap", tau = 0.25, ignore_first_col = FALSE)
Arguments
A |
Adjacency matrix (n x n) |
K |
Number of communities |
type |
("lap" | "adj" | "adj2") Whether to use Laplacian or adjacency-based spectral clustering |
tau |
Regularization parameter for the Laplacian |
ignore_first_col |
whether to ignore the first eigen vector |
Value
The n x K matrix resulting from a spectral embedding of the network into R^K
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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