Comparison of Classical Dimensionality Reduction Methods with Novel Approach Based on Formal Concept Analysis-Reference-Cited by-同舟云学术

Comparison of Classical Dimensionality Reduction Methods with Novel Approach Based on Formal Concept Analysis

Published:2011 Issue: Volume: Page:26-35
ISSN:0302-9743
Container-title:Rough Sets and Knowledge Technology
language:
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Author:

Bartl Eduard,Rezankova Hana,Sobisek Lukas

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-24425-4_6

Reference10 articles.

1. Belohlavek, R.: Algorithms for fuzzy concept lattices. In: Proc. Fourth Int. Conf. on Recent Advances in Soft Computing, pp. 67–68 (2002)

2. Belohlavek, R.: Fuzzy Relational Systems: Foundations and Principles. Kluwer Academic/Plenum Publishers, New York (2002)

3. Lecture Notes in Computer Science;R. Belohlavek,2009

4. Belohlavek, R., Vychodil, V.: On Boolean factor analysis with formal concepts as factors. In: Int. Conf. Soft Computing and Intelligent Systems & Int. Symposium on Intelligent Systems, pp. 1054–1059 (2006)

5. Moulisova, M.: Investigation of policeman perception. Kriminalistika 42(1), 56–71 (2009) (in Czech)

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