gclust.rsvt

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Graph Clustering Using SVT and NMF -- Clusters Implied by Singular Value Thresholding

Performs Clustering of Graphs using Singular Value Thresholding and Non-negative Factorization.

Usage
gclust.rsvt(glist, r=1,maxsvt=10,nmfout=FALSE,maxit=10000, nmfmethod='lee')
Arguments
glist
List of igraph Objects
r
Maximum Number of Clusters Allowed
maxsvt
Maximum Number of Singular Value Thresholding; Default is 10
nmfout
T/F indicating if the output from nmf should be returned; Default is FALSE
maxit
A number passed to irlba or svd function limiting the number of iteration; Default is 10000
nmfmethod
A number passed to irlba or svd, limiting the number of iterations; Default is 'lee'
Value

  • nmfAn NMF object
  • WBasis Graphs
  • HProbability Vector for Cluster Weights timeseries of graphs
  • XoriginInput Data in the matrix form

concept

Graph Clustering

Aliases
  • gclust.rsvt
Examples
require(NMF)
require(irlba)
require(igraph)
Documentation reproduced from package igraph, version 1.0.0, License: GPL (>= 2)

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