svd.extract: svd.extract
In Noobivsho/ssClust: GMM for semi-supervised case a-la Mclust
Description
Usage
Arguments
Value
Author(s)
See Also
Examples
Description
Get scaled eigenvectors of adjacency matrix
Usage
1
svd.extract(A, dim = NULL, scaling = TRUE)
Arguments
A
square adjacency matrix
dim
dimension of embedding
scaling
boolean: should eigenvectors be scaled? (yes)
Value
Scaled eigenvectors.
Author(s)
Youngser Park
See Also
library(irbla)
Examples
1
Noobivsho/ssClust documentation built on Aug. 10, 2019, 5:47 a.m.
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Description Usage Arguments Value Author(s) See Also Examples
Description
Get scaled eigenvectors of adjacency matrix
Usage
1 | svd.extract(A, dim = NULL, scaling = TRUE)
|
Arguments
A |
square adjacency matrix |
dim |
dimension of embedding |
scaling |
boolean: should eigenvectors be scaled? (yes) |
Value
Scaled eigenvectors.
Author(s)
Youngser Park
See Also
library(irbla)
Examples
1 |
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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