jaccard: Jaccardind

In biclust: BiCluster Algorithms

Jaccardind

Description

An adaption of the Jaccard Index for clustering is calculated.

Usage

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

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

Details

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

Value

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

Author(s)

Sebastian Kaiser [e-mail]

Examples

## Not run: 
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)


## End(Not run)

biclust documentation built on May 31, 2023, 6:18 p.m.