RDRToolbox (version 1.16.0)

DBIndex: Davis-Bouldin-Index

Description

Computes the Davis-Bouldin-Index for cluster validation purposes.

Usage

DBIndex(data, labels)

Arguments

data
N x D matrix (N samples, D features)
labels
a vector of class labels

Value

'DBIndex' returns the Davis-Bouldin cluster index, a numeric value.

Details

To compute a clusters' compactness, this version uses the Euclidean distance to determine the mean distances between the samples and the cluster centers. Furthermore, the distance of two clusters is given by the distance of their centers.

Examples

Run this code
## DB-Index of a 50 dimensional dataset with 20 samples separated into two classes
d = generateData(samples=20, genes=50, diffgenes=10, blocksize=5)
DBIndex (data=d[[1]], labels=d[[2]])

Run the code above in your browser using DataCamp Workspace