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Statements

Subject Item
n2:RIV%2F68407700%3A21230%2F09%3A00156897%21RIV10-AV0-21230___
rdf:type
n8:Vysledek skos:Concept
dcterms:description
RadViz visualization makes it possible to map data from n-dimensional space into a plane. The paper reviews those specific properties of this method that are important for identification of clusters in the original multidimensional data. First, there is described an artificial data set which clearly points to a certain drawback of the original RadViz mapping. To resolve the identified problem there are suggested 2 minor modifications of the RadViz algorithm. Finally, it is proved that application of both suggested modifications guarantees that the upper mentioned problem does not re-appear. This claim is experimentally confirmed by a new visualization of the two original data sets using the modified mapping algorithm. RadViz visualization makes it possible to map data from n-dimensional space into a plane. The paper reviews those specific properties of this method that are important for identification of clusters in the original multidimensional data. First, there is described an artificial data set which clearly points to a certain drawback of the original RadViz mapping. To resolve the identified problem there are suggested 2 minor modifications of the RadViz algorithm. Finally, it is proved that application of both suggested modifications guarantees that the upper mentioned problem does not re-appear. This claim is experimentally confirmed by a new visualization of the two original data sets using the modified mapping algorithm.
dcterms:title
RadViz and Identification of Clusters in Multidimensional Data RadViz and Identification of Clusters in Multidimensional Data
skos:prefLabel
RadViz and Identification of Clusters in Multidimensional Data RadViz and Identification of Clusters in Multidimensional Data
skos:notation
RIV/68407700:21230/09:00156897!RIV10-AV0-21230___
n3:aktivita
n11:P
n3:aktivity
P(1ET101210513)
n3:dodaniDat
n17:2010
n3:domaciTvurceVysledku
n7:5112605 n7:9942904
n3:druhVysledku
n9:D
n3:duvernostUdaju
n15:S
n3:entitaPredkladatele
n19:predkladatel
n3:idSjednocenehoVysledku
338012
n3:idVysledku
RIV/68407700:21230/09:00156897
n3:jazykVysledku
n5:eng
n3:klicovaSlova
RadViz; visualization data; clustering; data understanding
n3:klicoveSlovo
n4:visualization%20data n4:RadViz n4:clustering n4:data%20understanding
n3:kontrolniKodProRIV
[9B1B8CBD67BC]
n3:mistoKonaniAkce
Barcelona
n3:mistoVydani
Los Alamitos
n3:nazevZdroje
Proceedings Information Visualization IV09
n3:obor
n20:JC
n3:pocetDomacichTvurcuVysledku
2
n3:pocetTvurcuVysledku
2
n3:projekt
n13:1ET101210513
n3:rokUplatneniVysledku
n17:2009
n3:tvurceVysledku
Štěpánková, Olga Nováková, Lenka
n3:typAkce
n12:WRD
n3:zahajeniAkce
2009-07-15+02:00
s:numberOfPages
6
n21:hasPublisher
IEEE Computer Society
n16:isbn
978-0-7695-3733-7
n18:organizacniJednotka
21230