clvalidity {chemometrics} | R Documentation |
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 $sum_j W_j$ divided by $sum_{j<l} B_{jl}$ 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. To appear.
data(glass) require(robustbase) res <- pcaCV(glass,segments=4,repl=100,cex.lab=1.2,ylim=c(0,1),las=1)