DBIndex: Davis-Bouldin-Index
In RDRToolbox: A package for nonlinear dimension reduction with Isomap and LLE.

Description Usage Arguments Details Value Author(s) Examples

View source: R/DBIndex.R

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

1	DBIndex(data, labels)

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

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.

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

Christoph Bartenhagen

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## 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]])