hopkins: Calculate Hopkins statistic.

In clustertend: Check the Clustering Tendency

Calculate Hopkins statistic.

Description

Calculate Hopkins statistic of given data.

Usage

hopkins(X, n = ceiling(nrow(X)/10))

Arguments

X	Data (matrix or data.frame) to check clusterability.
n	The number of rows to sample from X. The default is 1/10th the number of rows of X.

Details

Note: Package clustertend is deprecated. Use package hopkins instead.

Sample data must be preprocessed into dataframe or matrix form before given as the value of parameter "data".

Value

The value returned is actually 1-Hopkins statistic.

Author(s)

Kevin Wright, Luo YiLan, Zeng RuTong.

References

Lawson, R.G. and Jurs, P.C.(1990). New index for clustering tendency and its application to chemical problems. Journal of Chemical Information and Computer Sciences. 30(1):36-41.

Examples

set.seed(1)
hopkins(iris[,-5], n=15)

clustertend documentation built on Aug. 19, 2023, 5:09 p.m.