spec.emb: Spectral embedding with the normalized or the unnormalized...
In loe: Local Ordinal Embedding

Description Usage Arguments Value Author(s) Examples

Performs spectral embedding for a given adjacency matrix.

1	spec.emb(A, p, norm = TRUE)

`A`
`p`	The number of dimensions.
`norm`	If `TRUE`, then the normalized Laplacian is used for embedding. If `FASLE`, then the unnormalized Laplacian is used for embedding.

The corrdinate matrix with p columns whose rows give the coordinates of the vertexes.

Yoshikazu Terada

library(igraph)
ADM <- as.matrix( get.adjacency(graph.famous("Icosahedral")) )

#Apply some graph embedding methods
LE <-spec.emb(A=ADM,2,norm=FALSE)

Loading required package: MASS

Attaching package: ‘igraph’

The following objects are masked from ‘package:stats’:

    decompose, spectrum

The following object is masked from ‘package:base’:

    union