simula.tclust: Simulate contaminated data set for applying TCLUST

In tclust: Robust Trimmed Clustering

Simulate contaminated data set for applying TCLUST

Description

Simulate 10% contaminated data set for applying TCLUST

Usage

simula.tclust(n, p = 4, k = 3, type = 2, balanced = 1)

Arguments

n	number of observations
p	dimension (p>=2 and p>q)
k	number of clusters (only k=3 and k=6 are allowed!!!)
type	1 (spherical for rest.fact=1) or 2 (elliptical for rest.fact=9^2)
balanced	1 (all clusters equal size) or 2 [proportions (25,30,35)% if k=3 and (12.5,15,17.5,12.5,15,17.5)% if k=6]

Value

a list with the following items

• x - The generated dataset

• true - The true classification

Examples

res <- simula.tclust(n=400,k=3,p=8,type=2,balanced=1)
plot(res$x,col=res$true+1)

tclust documentation built on April 4, 2025, 2:05 a.m.