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BFA and BMF: What is the difference.

Authors :
Frolov, Alexander A.
Abraham, Ajith
Polyakov, Pavel Y.
Husek, Dusan
Rezankova, Hana
Source :
2012 12th International Conference on Intelligent Systems Design & Applications (ISDA); 1/ 1/2012, p890-896, 7p
Publication Year :
2012

Abstract

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 (BVA2). 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. [ABSTRACT FROM PUBLISHER]

Details

Language :
English
ISBNs :
9781467351171
Database :
Complementary Index
Journal :
2012 12th International Conference on Intelligent Systems Design & Applications (ISDA)
Publication Type :
Conference
Accession number :
86491711
Full Text :
https://doi.org/10.1109/ISDA.2012.6416656