Low-rank Boolean matrix approximation by integer programming
Low-rank approximations of data matrices are an important dimensionality re- duction tool in machine learning and regression analysis. We consider the case of categorical variables, where it can be formulated as the problem of finding low-rank approximations to Boolean matrices. In this paper we giv...
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| Format: | Conference item |
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2018
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