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BFA and BMF: What is the Difference
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SYSNO ASEP 0382263 Document Type C - Proceedings Paper (int. conf.) R&D Document Type Conference Paper Title BFA and BMF: What is the Difference Author(s) Frolov, A. A. (RU)
Abraham, A. (CZ)
Polyakov, P.Y. (RU)
Húsek, Dušan (UIVT-O) RID, SAI, ORCID
Řezanková, H. (CZ)Source Title Intelligent Systems Design and Applications (ISDA). - Piscataway : IEEE Computer Society, 2012 / Abraham A. ; Zomaya A. ; Ventura S. ; Yager R. ; Snášel V. ; Muda A.K. ; Samuel P. - ISSN 2164-7143 - ISBN 978-1-4673-5117-1 Pages s. 890-896 Number of pages 7 s. Publication form Print - P Action ISDA 2012. International Conference on Intelligent Systems Design and Applications /12./ Event date 27.11.2012-29.11.2012 VEvent location Kochi Country IN - India Event type WRD Language eng - English Country US - United States Keywords dimension reduction ; statistics ; data mining ; Boolean factor analysis ; Boolean matrix factorization ; information gain ; likelihood-maximalization ; bars problem Subject RIV IN - Informatics, Computer Science R&D Projects GAP202/10/0262 GA ČR - Czech Science Foundation (CSF) Institutional support UIVT-O - RVO:67985807 UT WOS 000314779300153 EID SCOPUS 84874375513 DOI 10.1109/ISDA.2012.6416656 Annotation Studied are differences of two approaches to binary data dimension reduction. The first one is Boolean Matrix Factorization and the second one is Expectation Maximization Boolean Factor Analysis. The two BMF methods are used for comparison. First is M8 method from the BMDP statistical software package. The second is the BMF method, as suggested by Belohlavek and Vychodil [1]. These two are compared to Expectation Maximization Boolean Factor Analysis extended with binarization step developed here. Generated (Bars problem) and mushroom dataset are used for experiments. In particular, under scrutiny was the reconstruction ability of the computed factors and the information gain as the measure of dimension reduction. In addition, presented are some general remarks on all the methods being compared. Workplace Institute of Computer Science Contact Tereza Šírová, sirova@cs.cas.cz, Tel.: 266 053 800 Year of Publishing 2013
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