R: Jaccardind

jaccardind {biclust} | R Documentation

## 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 sebastian.kaiser@stat.uni-muenchen.de

### 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)

[Package biclust version 2.0.2 Index]