rBMF (version 1.1)

GreConD: GreConD Boolean matrix factorization

Description

implements GreConD algorithm for Boolean matrix factorization. returns A . B = X (if the no. of factors is not limited).

Usage

GreConD(X, no_of_factors = NULL)

Arguments

X

input binary matrix to be factorized.

no_of_factors

number of factors of the result (optional).

Value

List of the following four components:

A

Factor matrix A

B

Factor matrix B

References

Belohlavek R., Vychodil V.: Discovery of optimal factors in binary data via a novel method of matrix decomposition. Journal of Computer and System Sciences 76(1)(2010), 3-20

See Also

topFiberM, Asso_approximate

Examples

# NOT RUN {
data(DBLP)
X=DBLP
Xb=X==1
Res=GreConD(Xb,7)

   X_=Res$A %*% Res$B
    X_=as(X_,'TsparseMatrix')
    X=as(X,'TsparseMatrix')
			li=X@i[X@x==1]+1
			lj=X@j[X@x==1]+1
			tp=sum(X_[cbind(li,lj)]>0)
			fn=sum(X)-tp#sum(!X_[cbind(li,lj)])
			fp=sum(X_@x>0)-tp
			cv=1-(fp+fn)/(tp+fn)
print(sprintf("tp:%d, fp:%d,fn:%d, Error:%d, covered=%.3f",tp,fp,fn,fn+fp,cv))

# }