Get.CH {clues}R Documentation

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, ..., 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)

[Package clues version 0.3.2 Index]