clues (version 0.3.2)

Get.CH: Compute CH Index

Description

Compute CH index for a given partition of a data set.

Usage

Get.CH(y, mem, disMethod = "Euclidean")

Arguments

y

data matrix which is a R matrix object (for dimension > 1) or vector object (for dimension=1) with rows be observations and columns be variables.

mem

vector of the cluster membership of data points. The cluster member ship takes values: $1$, $2$, $\ldots$, $g$, where $g$ is the estimated number of clusters.

disMethod

specification of the dissimilarity measure. The available measures are Euclidean and 1-corr.

Value

• A scalar indicates CH index.

References

Calinski, R.B., Harabasz, J., (1974). A dendrite method for cluster analysis. Communications in Statistics, Vol. 3, pages 1-27.

Wang, S., Qiu, W., and Zamar, R. H. (2007). CLUES: A non-parametric clustering method based on local shrinking. Computational Statistics & Data Analysis, Vol. 52, issue 1, pages 286-298.

Examples

# ruspini data
data(Ruspini)
# data matrix
ruspini <- Ruspini$ruspini
mem <- Ruspini$ruspini.mem
 
Get.CH(ruspini, mem)