jaccardind {biclust} | R Documentation |
An adaption of the Jaccard Index for clustering is calculated.
jaccardind(bicres1,bicres2) jaccard2(Rows, Cols)
bicres1 |
A object of class Biclust |
bicres2 |
A object of class Biclust |
Rows |
Matrix containing rows of biclusters |
Cols |
Matrix containing cols of biclusters |
The function calculates the percentage of datapoints in the same bicluster structure from all datapoints at least included in one bicluster.
jaccardind
calculates the Jaccard index
jaccard2
returns a similarity matrix containing the Jaccard
index between all biclusters (upper triangle matrix)
Sebastian Kaiser sebastian.kaiser@stat.uni-muenchen.de
## 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)