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  • In the paper we deal with dimensionality reduction techniques for a dataset with discrete attributes. Dimensionality reduction is considered as one of the most important problems in data analysis. The main aim of our paper is to show advantages of a novel approach introduced and developed by Belohlavek and Vychodil in comparison of two classical dimensionality reduction methods which can be used for ordinal attributes (CATPCA and factor analysis). The novel technique is fundamentally different from existing ones since it is based on another kind of mathematical apparatus (namely, Galois connections, lattice theory, fuzzy logic). Therefore, this method is able to bring a new insight to examined data. The comparison is accompanied by analysis of two data sets which were obtained by questionnaire survey.
  • In the paper we deal with dimensionality reduction techniques for a dataset with discrete attributes. Dimensionality reduction is considered as one of the most important problems in data analysis. The main aim of our paper is to show advantages of a novel approach introduced and developed by Belohlavek and Vychodil in comparison of two classical dimensionality reduction methods which can be used for ordinal attributes (CATPCA and factor analysis). The novel technique is fundamentally different from existing ones since it is based on another kind of mathematical apparatus (namely, Galois connections, lattice theory, fuzzy logic). Therefore, this method is able to bring a new insight to examined data. The comparison is accompanied by analysis of two data sets which were obtained by questionnaire survey. (en)
Title
  • Comparison of classical dimensionality reduction methods with novel approach based on formal concept analysis
  • Comparison of classical dimensionality reduction methods with novel approach based on formal concept analysis (en)
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  • Comparison of classical dimensionality reduction methods with novel approach based on formal concept analysis
  • Comparison of classical dimensionality reduction methods with novel approach based on formal concept analysis (en)
skos:notation
  • RIV/61989592:15310/11:10225061!RIV12-GA0-15310___
http://linked.open...avai/predkladatel
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GAP202/10/0262)
http://linked.open...iv/cisloPeriodika
  • 1
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 191082
http://linked.open...ai/riv/idVysledku
  • RIV/61989592:15310/11:10225061
http://linked.open...riv/jazykVysledku
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  • dimensionality reduction, discrete data, factor analysis, formal concept analysis, fuzzy logic, matrix decomposition, principal component analysis (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • DE - Spolková republika Německo
http://linked.open...ontrolniKodProRIV
  • [3945B21579C7]
http://linked.open...i/riv/nazevZdroje
  • Lecture Notes in Computer Science
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
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http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...v/svazekPeriodika
  • 6954
http://linked.open...iv/tvurceVysledku
  • Bartl, Eduard
  • Sobíšek, Lukáš
  • Řezánková, Hana
issn
  • 0302-9743
number of pages
http://localhost/t...ganizacniJednotka
  • 15310
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