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Description
  • The paper is addressed to the problem of the input selection for fuzzy models. Fuzzy clustering algorithms are used to analyze an input data set. Simulated examples as well as real examples are shown in order to demonstrate the properties of the algorithm.
  • The paper is addressed to the problem of the input selection for fuzzy models. Fuzzy clustering algorithms are used to analyze an input data set. Simulated examples as well as real examples are shown in order to demonstrate the properties of the algorithm. (en)
Title
  • Input Selection Using Fuzzy Clustering
  • Input Selection Using Fuzzy Clustering (en)
skos:prefLabel
  • Input Selection Using Fuzzy Clustering
  • Input Selection Using Fuzzy Clustering (en)
skos:notation
  • RIV/68407700:21230/03:03087773!RIV/2004/MSM/212304/N
http://linked.open...avai/riv/aktivita
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  • P(LN00B096)
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  • 610638
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  • RIV/68407700:21230/03:03087773
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  • fuzzy clustering;fuzzy modelling;input selection;similarity measure (en)
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http://linked.open...ontrolniKodProRIV
  • [3F8E23E5ADDD]
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  • Bratislava
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  • Not available
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http://linked.open...iv/tvurceVysledku
  • Šindelář, Radek
http://linked.open...rzeVyzkumneZpravy
  • Neuveden
https://schema.org/isbn
  • 80-227-1902-1
http://localhost/t...ganizacniJednotka
  • 21230
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