specClustCov: Spectral clustering of a covariate matrix (low rank).

In norbertbin/SpecClustPack: Spectral Clustering for Network Analysis

Description

Spectral clustering of a covariate matrix (low rank).

Usage

specClustCov(covMat, nBlocks, nIter = 20, center = F, jit = F)

Arguments

covMat	A matrix of covariates with each column corresponding to a covariate.
nBlocks	The number of clusters.
nIter	Number of kmeans iterations (default is 10).
center	A boolean indicating if the covariate matrix columns should be centered.

Value

Returns a vector of row cluster assignments.

Examples

covProbMat = matrix(c(.6, .2, .2, .6), nrow = 2)
nMembers = c(50, 50)
covMat = simBernCovar(covProbMat, nMembers)
specClustCov(covMat, nBlocks = 2)

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