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  • Filling a data table with fuzzy attributes (scaling) is subjective. What properties of scaling are important if we want to know whether two data tables filled by two experts lead to (almost) the same collections of extracted clusters in the sense of formal concept analysis? The paper provides two answers.
  • Filling a data table with fuzzy attributes (scaling) is subjective. What properties of scaling are important if we want to know whether two data tables filled by two experts lead to (almost) the same collections of extracted clusters in the sense of formal concept analysis? The paper provides two answers. (en)
Title
  • Invariance to scaling in formal concept analysis of data tables with fuzzy attributes
  • Invariance to scaling in formal concept analysis of data tables with fuzzy attributes (en)
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  • Invariance to scaling in formal concept analysis of data tables with fuzzy attributes
  • Invariance to scaling in formal concept analysis of data tables with fuzzy attributes (en)
skos:notation
  • RIV/61989592:15310/05:00002089!RIV10-MSM-15310___
http://linked.open...avai/riv/aktivita
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  • Z(MSM6198959214)
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  • 525558
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  • RIV/61989592:15310/05:00002089
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  • data tables; fuzzy attributes (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [E250AEBE6075]
http://linked.open...i/riv/mistoVydani
  • Salt Lake City
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  • 8th Joint Conference on Information Sciences
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  • Bělohlávek, Radim
http://linked.open...n/vavai/riv/zamer
number of pages
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  • Joint Conference on Information Sciences
https://schema.org/isbn
  • 0-9707890-3-3
http://localhost/t...ganizacniJednotka
  • 15310
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