Some Remarks on Binary Data Grouping

Author

Husek, Dusan ; Frolov, Alexander A. ; Rezankova, H. ; Snasel, Vaclav ; Polyakov, Pavel Y.

Author_Institution

Inst. of Comput. Sci., Czech Acad. of Sci. Prague, Prague

fYear

2008

fDate

1-5 Sept. 2008

Firstpage

559

Lastpage

565

Abstract

The methods for variables selections which allows for optimal representation of objects group in the data are studied. Neural network based Boolean factor analysis is compared with two statistical methods - linear factor analysis and hierarchical clustering. It is shown that Boolean factor analysis is the best solution for binary data dimensionality reduction. Advantage of Boolean factor analysis is its nonlinearity.

Keywords

Boolean functions; data reduction; neural nets; pattern clustering; statistical analysis; Boolean factor analysis; binary data dimensionality reduction; binary data grouping; hierarchical clustering; linear factor analysis; neural network; optimal object representation; statistical methods; Application software; Computer science; Databases; Expert systems; Information analysis; Neural networks; Neurophysiology; Signal analysis; Statistical analysis; Statistics; Binary Data; Boolean factor analysis; Clustering; Dimensionality Reduction; Factor analysis; Neural networks;

fLanguage

English

Publisher

ieee

Conference_Titel

Database and Expert Systems Application, 2008. DEXA '08. 19th International Workshop on

Conference_Location

Turin

ISSN

1529-4188

Print_ISBN

978-0-7695-3299-8

Type

conf

DOI

10.1109/DEXA.2008.107

Filename

4624776