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Partition of a Binary Matrix intok(k ≥ 3) Exclusive Row and Column Submatrices Is Difficult

机译:将二进制矩阵划分为k(k≥3)的排行和列子矩阵困难

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A biclustering problem consists of objects and an attribute vector for each object. Biclustering aims at finding a bicluster—a subset of objects that exhibit similar behavior across a subset of attributes, or vice versa. Biclustering in matrices with binary entries (“0”/“1”) can be simplified into the problem of finding submatrices with entries of “1.” In this paper, we consider a variant of the biclustering problem: thek-submatrix partition of binary matrices problem. The input of the problem contains ann×mmatrix with entries (“0”/“1”) and a constant positive integerk. Thek-submatrix partition of binary matrices problem is to find exactlyksubmatrices with entries of “1” such that theseksubmatrices are pairwise row and column exclusive and each row (column) in the matrix occurs in exactly one of theksubmatrices. We discuss the complexity of thek-submatrix partition of binary matrices problem and show that the problem is NP-hard for anyk≥3by reduction from a biclustering problem in bipartite graphs.
机译:一个双簇问题由对象和每个对象的属性向量组成。 Biclustering的目的是找到一个Bicluster,即对象的子集在属性的子集上表现出相似的行为,反之亦然。具有二进制条目(“ 0” /“ 1”)的矩阵中的二元化可以简化为查找具有“ 1”条目的子矩阵的问题。在本文中,我们考虑了双簇问题的一个变体:二元矩阵的thek-submatrix分区问题。问题的输入包含带有条目(“ 0” /“ 1”)和常数正整数的n×mmatrix。二进制矩阵的k-子矩阵分区问题是查找具有“ 1”条目的正好k个子矩阵,以使这些k个子矩阵成对排行和列排,矩阵中的每一行(列)都恰好出现在k个子矩阵中。我们讨论了二元矩阵问题的k-子矩阵划分的复杂性,并通过从二部图中的双簇问题的还原中证明了Anyk≥3的问题是NP-难的。

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