R: Spectral embedding with the normalized or the unnormalized...

spec.emb {loe} | R Documentation

## Spectral embedding with the normalized or the unnormalized Laplacian (Laplacian eigenmaps).

### Description

Performs spectral embedding for a given adjacency matrix.

### Usage

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

### Arguments

`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.

### Value

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

### Author(s)

Yoshikazu Terada

### Examples

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

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

[Package loe version 1.1 Index]