cfsim.akmeans: Compare LSBCLUST Simulation Results

In lsbclust: Least-Squares Bilinear Clustering for Three-Way Data

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]])

lsbclust documentation built on May 1, 2019, 10:27 p.m.