Data reduction for Boolean matrix factorization
Published: 7 October 2024| Version 1 | DOI: 10.17632/n2843gyxw4.1
Contributors:
, Jakub JurackaDescription
In the associated paper, we discuss a fault in a recently published method of data reduction in Boolean matrix factorization. We demonstrate experimentally that reversing the logic of the rationale yields comparable results and, moreover, that a random approach yields comparable and on average even better results as well. This data package contains folders with PDF charts that complement the findings presented in the paper.
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Institutions
Univerzita Palackeho v Olomouci Katedra informatiky
Categories
Computer Science, Dimensionality Reduction, Decomposition Algorithms