compute and plot cluster validity
A cluster validity measure based on within- and between-sum-of-squares is computed and plotted for the methods k-means, fuzzy c-means, and model-based clustering.
clvalidity(x, clnumb = c(2:10))
x |
input data matrix |
clnumb |
range for the desired number of clusters |
The validity measure for a number k of clusters is
∑_j W_j divided by ∑_{j<l} B_{jl} with
W_j is the sum of squared distances of the objects in each cluster
cluster to its center, and B_{jl} is the squared distance between
the cluster centers of cluster j and l.
validity |
vector with validity measure for the desired numbers of clusters |
Peter Filzmoser <P.Filzmoser@tuwien.ac.at>
K. Varmuza and P. Filzmoser: Introduction to Multivariate Statistical Analysis in Chemometrics. CRC Press, Boca Raton, FL, 2009.
data(glass) require(robustbase) res <- pcaCV(glass,segments=4,repl=100,cex.lab=1.2,ylim=c(0,1),las=1)
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