Search results

  1. 1.
    0542554 - ÚVGZ 2022 RIV HU eng J - Journal Article
    Egidi, G. - Edwards, Magda - Cividino, S. - Gambella, F. - Salvati, Luca
    Exploring non-linear relationships among redundant variables through non-parametric principal component analysis: An empirical analysis with land-use data.
    Regional Statistics. Roč. 11, č. 1 (2021), s. 25-41. ISSN 2063-9538. E-ISSN 2064-8243
    Research Infrastructure: CzeCOS III - 90123
    Institutional support: RVO:86652079
    Keywords : species-diversity * landscape * growth * region * assemblages * indicators * indexes * sprawl * level * city * multidimensional techniques * spearman non-parametric coefficients * Principal Component Analysis (PCA) * large data sets * indicators * regional science
    OECD category: Physical geography
    Method of publishing: Limited access
    https://www.academia.edu/44560921/Exploring_non_linear_relationships_among_redundant_variables_through_non_parametric_principal_component_analysis_An_empirical_analysis_with_land_use_data
    Permanent Link: http://hdl.handle.net/11104/0319941
     
     
  2. 2.
    0461274 - ASÚ 2017 RIV DE eng C - Conference Paper (international conference)
    Šaloun, P. - Andrešič, D. - Škoda, Petr - Zelinka, I.
    Better Spectra Manipulation in SPLAT-VO.
    Proceedings of the Second International Afro-European Conference for Industrial Advancement: AECIA 2015. Berlin: Springer, 2016 - (Abraham, A.), s. 373-384. Advances in Intelligent Systems and Computing, 427. ISBN 978-3-319-29503-9. ISSN 2194-5357.
    [AECIA 2015: International Afro-European Conference for Industrial Advancement /2./. Villejuif (FR), 09.09.2015-11.09.2015]
    Institutional support: RVO:67985815
    Keywords : SPLAT-VO * virtual observatory * large data sets
    Subject RIV: JD - Computer Applications, Robotics
    Permanent Link: http://hdl.handle.net/11104/0260908
     
     
  3. 3.
    0405181 - UIVT-O 20030149 RIV CZ cze C - Conference Paper (international conference)
    Húsek, Dušan - Pokorný, J. - Snášel, V. - Řezanková, H.
    Metody vyhledávání v rozsáhlých kolekcích dat.
    [Methods of Searching in Large Dat Sets.]
    Datakon 2003. Brno: Masarykova univerzita, 2003 - (Popelínský, L.), s. 23-52. ISBN 80-210-3215-4.
    [DATAKON 2003. Brno (CZ), 18.10.2003-20.10.2003]
    R&D Projects: GA ČR GA201/01/1192
    Institutional research plan: AV0Z1030915
    Keywords : document retrieval systems * large data collections * neural networks * dimensionality reduction * LSI * vector model
    Subject RIV: BB - Applied Statistics, Operational Research
    Permanent Link: http://hdl.handle.net/11104/0125379
     
     
  4. 4.
    0348302 - MÚ 2013 RIV DE eng C - Conference Paper (international conference)
    Straškraba, Ivan
    A selected Survey of the Mathematical Theory of 1D Flows.
    Advances in Mathematical Fluid Mechanics. Heidelberg: Springer, 2010 - (Rannacher, R.; Sequeira, A.), s. 581-587. ISBN 978-3-642-04067-2.
    [Advances in mathematical fluid mechanics. Estoril (PT), 21.05.2007-25.5.2007]
    R&D Projects: GA ČR GA201/08/0012
    Institutional research plan: CEZ:AV0Z10190503
    Keywords : compressible Navier-Stokes equations * global behavior * large data
    Subject RIV: BA - General Mathematics
    http://link.springer.com/chapter/10.1007%2F978-3-642-04068-9_32
    Permanent Link: http://hdl.handle.net/11104/0188867
    FileDownloadSizeCommentaryVersionAccess
    Straskraba2.pdf0302.4 KBPublisher’s postprintrequire
     
     


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