Cluster both rows and columns. Return the joint cluster membership.

biclusterMatrixFactorization(mxdfin, measureColumns, k = 2, verbose = FALSE)

Arguments

mxdfin

Input data frame

measureColumns

vector defining the data columns to be used for clustering.

k

the number of clusters

verbose

boolean

Value

a matrix with label identities; 0 indicates not in a cluster.

Author

Avants BB

Examples

mydf = generateSubtyperData( 10 )
rbfnames = names(mydf)[grep("Random",names(mydf))]
mybic = biclusterMatrixFactorization( mydf, rbfnames, k = 2 )