graphonSpectralClustering function

Graph clustering using the pairwise graphon distances and spectral clustering

Graph clustering using the pairwise graphon distances and spectral clustering

graphonSpectralClustering(allAdj, nbClusters, sig = 0.1, nbCores = 1)

Arguments

  • allAdj: list of adjacency matrices
  • nbClusters: number of clusters to be found
  • sig: parameter for Gaussian kernel used for the similarity matrix
  • nbCores: number of cores for parallelization.

Returns

list with the obtained graph clusteirng ($clust) and the matrix with the pairwise graphon distances between all pairs of networks

Examples

theta <- list(pi=c(.5,.5), gamma=matrix((1:4)/8,2,2)) obs <- rCollectSBM(rep(10,4), theta)$listGraphs res <- graphonSpectralClustering(obs, 2, nbCores=1)
  • Maintainer: Tabea Rebafka
  • License: GPL-2
  • Last published: 2023-06-07

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