Abstract
The benefit of each key algorithm also depends on many additional supporting algorithms it uses. It turned out that class of problems related to dimensionality reduction of binary spaces used for statistical analysis of binary data, e.g. binary (Boolean) factor analysis, is dependent on the possibility and ability of performing pseudo-division of binary matrices. The paper presents novelty computation approach to it, giving an algorithm for reasonably fast exact solution.
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Keprt, A. (2014). Binary Matrix Pseudo-division and Its Applications. In: Abraham, A., Krömer, P., Snášel, V. (eds) Innovations in Bio-inspired Computing and Applications. Advances in Intelligent Systems and Computing, vol 237. Springer, Cham. https://doi.org/10.1007/978-3-319-01781-5_15
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DOI: https://doi.org/10.1007/978-3-319-01781-5_15
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-01780-8
Online ISBN: 978-3-319-01781-5
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