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Finding biclusters by random projections
2006
Theoretical Computer Science
Given a matrix X composed of symbols, a bicluster is a submatrix of X obtained by removing some of the rows and some of the columns of X in such a way that each row of what is left reads the same string. In this paper, we are concerned with the problem of finding the bicluster with the largest area in a large matrix X. The problem is first proved to be NP-complete. We present a fast and efficient randomized algorithm that discovers the largest bicluster by random projections. A detailed
doi:10.1016/j.tcs.2006.09.023
fatcat:moai2q3rk5gblodxq6qyglioqu