cfsim.akmeans {lsbclust}R Documentation

Compare LSBCLUST Simulation Results

Description

This function compares cluster membership and parameter estimates for the results of akmeans on simulated data, constructed using rlsbclust, to the true underlying values.

Usage

## S3 method for class 'akmeans'
cfsim(fitted, actual, method = c("diag", "cRand"))

Arguments

fitted

An object of class akmeans containing the fitted results.

actual

An object of class lsbclust_sim containing the simulated data.

method

The method for calculating cluster agreement across random starts, passed on to cl_agreement. None is calculated when set to NULL.

Examples

## Simulate LSBCLUST data, fit akmeans on double-centered data, and compare
set.seed(1)
dat <- rlsbclust(ndata = 1, nobs = 100, size = c(10, 8), nclust = c(5, 4, 6, 5))
dat[[1]]$data <- carray(dat[[1]]$data)
res <- akmeans(data = dat[[1]]$data, centers = 5, margin = 3, ndim = 2)
cfsim(res, dat[[1]])

[Package lsbclust version 1.1 Index]