Description Usage Format Author(s) References Examples
This simulated data set are discussed by McLachlan and Peel (2000). The data consists of 100 observations generated from a 3-component bivariate normal mixture model with equal mixing proportions. Fifty outliers, generated from a uniform distribution over the range -10 to 10 on each variate are added to the original data. Thus a sample of 150 observations is obtained.
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A data frame with 100 observations on the following 3 variables.
x
a numeric vector of x-coordinates
y
a numeric vector of y-coordinates
c
a numeric vector of cluster memberships
P. Neytchev, P. Filzmoser, R. Patnaik, A. Eisl and R. Boubela, <P.Filzmoser@tuwien.ac.at> http://www.statistik.tuwien.ac.at/public/filz/
McLachlan, G.J. and Peel, D. (2000). Finite mixture models. Wiley, New York.
1 2 3 4 5 6 7 | data(McLachlan150)
str(McLachlan150)
# Example needs some computing time:
#d <- as.matrix(McLachlan150[,1:2])
#est.tle <- TLE(d~1,"mvtnormal",data=d,Density=FLXmclust.Density,
# Estimate=FLXmclust.Estimate,msglvl=1,nc=3,class="hard")
#tleplot(est.tle,as.data.frame(d),main="TLE Scatter Plot")
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