partSpecClust: Performs an approximate spectral clustering on an adjacency...

In norbertbin/SpecClustPack: Spectral Clustering for Network Analysis

Description

Performs an approximate spectral clustering on an adjacency matrix by using the Nystrom extension.

Usage

partSpecClust(adjMat, nBlocks, subSampleSize, rowNorm = T, nIter = 10,
  verbose = F)

Arguments

adjMat	A graph adjacency matrix.
nBlocks	The number of clusters in the graph.
rowNorm	If true, eigenvector rows should be normalized before running kmeans (default is true).
nIter	Number of kmeans iterations (default is 10).
verbose	If true, return a list with cluster assignments, within cluster sum of squares, and eigendecomposition (default is false).

Value

A vector of node cluster assignments. Or, if verbose is set to true a list with cluster assignments and additional information.

norbertbin/SpecClustPack documentation built on May 23, 2019, 9:32 p.m.