Calculate the validity index for fuzzy clusters. A validity index
below 1 indicates, that in between clusters is larger than within
clusters. Evaluating the validity index for various numbers of desired
clusters may help to find the minimum.
Usage
validityIndex(cclust, values, verbose = FALSE)
Arguments
cclust
object returned from cmeans
values
data provided as x to cmeans
verbose
boolean. If true, values for numerator and denominater are printed.
Value
A single number, the validity index.
Author(s)
Dominik Reusser
References
Reusser, D. E., Blume, T., Schaefli, B., and Zehe, E.: Analysing the temporal dynamics of model performance for hydrological models, Hydrol. Earth Syst. Sci. Discuss., 5, 3169-3211, 2008.
Xie, X. and Beni, G.: A validity measure for fuzzy clustering, IEEE T. Pattern Anal., 13, 841-847, 1991. 3181