biclust (version 2.0.3.1)

jaccardind: Jaccardind

Description

An adaption of the Jaccard Index for clustering is calculated.

Usage

jaccardind(bicres1,bicres2)
jaccard2(Rows, Cols)

Value

jaccardind calculates the Jaccard index

jaccard2 returns a similarity matrix containing the Jaccard index between all biclusters (upper triangle matrix)

Arguments

bicres1

A object of class Biclust

bicres2

A object of class Biclust

Rows

Matrix containing rows of biclusters

Cols

Matrix containing cols of biclusters

Author

Sebastian Kaiser

Details

The function calculates the percentage of datapoints in the same bicluster structure from all datapoints at least included in one bicluster.

Examples

if (FALSE) {
data(BicatYeast)
res1<-biclust(BicatYeast, method=BCPlaid(), back.fit = 2, shuffle = 3,
  fit.model = ~m + a + b,iter.startup = 5, iter.layer = 30,  verbose = TRUE)
res2<-biclust(BicatYeast, method=BCCC())
jaccardind(res1,res2)

}