2026-07-072026-07-07http://salesiana.dossiersoluciones.com/handle/123456789/167394The problem of biclustering consists of the simultaneous clustering of rows and columns of a matrix such that each of the submatrices induced by a pair of row and column clusters is as uniform as possible. In this paper we approximate the optimal biclustering by applying one-way clustering algorithms independently on the rows and on the columns of the input matrix. We show that such a solution yields a worst-case approximation ratio of 1+sqrt(2) under L1-norm for 0-1 valued matrices, and of 2 under L2-norm for real valued matrices.9 pages, 2 figures; presentation clarified, replaced to match the version to be published in IPLData Structures and AlgorithmsMachine Learningtext