R: Compute CH Index

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 an 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 membership 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

The value of the 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

        data(Maronna)
        # data matrix
        maronna <- Maronna$maronna

        # cluster membership
        maronna.mem <- Maronna$maronna.mem

        get_CH(maronna, maronna.mem)

[Package clues version 0.6.2.2 Index]