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Description
  • Main topics of the document: dimension reduction; multidimensional scaling; latent class models; categorical principal component analysis; fuzzy cluster analysis
  • Main topics of the document: dimension reduction; multidimensional scaling; latent class models; categorical principal component analysis; fuzzy cluster analysis (en)
Title
  • Interpretation and Combination of Results of Dimensionality Reduction Methods by Fuzzy Cluster Analysis
  • Interpretation and Combination of Results of Dimensionality Reduction Methods by Fuzzy Cluster Analysis (en)
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  • Interpretation and Combination of Results of Dimensionality Reduction Methods by Fuzzy Cluster Analysis
  • Interpretation and Combination of Results of Dimensionality Reduction Methods by Fuzzy Cluster Analysis (en)
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  • RIV/61384399:31140/11:00036929!RIV12-MSM-31140___
http://linked.open...avai/predkladatel
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  • P(GAP202/10/0262), S, Z(MSM6138439910)
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  • 205507
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  • RIV/61384399:31140/11:00036929
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  • dimension reduction; multidimensional scaling; latent class models; categorical principal component analysis; fuzzy cluster analysis (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [AF3D4B774BDB]
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  • Rome
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  • Roma
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  • ASMDA 2011
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  • Sobíšek, Lukáš
  • Řezanková, Hana
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number of pages
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  • Sapieza Universita di Roma
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  • 978-88-467-3045-9
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  • 31140
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