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Statements

Subject Item
n2:RIV%2F68407700%3A21230%2F07%3A03120760%21RIV08-AV0-21230___
rdf:type
skos:Concept n16:Vysledek
dcterms:description
The paper searches for those properties of RadViz visualization method [4] mapping data from n dimensional space into a plane which are important for identification of clusters in the original multidimensional data. There are identified two observations (see the Sections 3 and 6) which help to specify clear conditions under which %22real%22 clusters appear even in the RadViz image. The key idea is illustrated using 2 characteristic examples of datasets pointing to a certain drawback of the original RadVizmapping. The identified problem can be resolved using 2 minor modifications of the RadViz algorithm which are suggested in the last section of this contribution. Finally we suggest an algorithm for search of attributes relevant for clustering the studied data. The paper searches for those properties of RadViz visualization method [4] mapping data from n dimensional space into a plane which are important for identification of clusters in the original multidimensional data. There are identified two observations (see the Sections 3 and 6) which help to specify clear conditions under which %22real%22 clusters appear even in the RadViz image. The key idea is illustrated using 2 characteristic examples of datasets pointing to a certain drawback of the original RadVizmapping. The identified problem can be resolved using 2 minor modifications of the RadViz algorithm which are suggested in the last section of this contribution. Finally we suggest an algorithm for search of attributes relevant for clustering the studied data. Vizualizační metoda RadViz mapuje data z n-dimenzionálního prostoru do roviny. Dvě velmi jednoduché modifikace algoritmu RadVizu umožňují, že je možné využít tuto vizualizační metodu i pro identifikaci shluků v původních datech. Základní myšlenka metody je ilustrována na dvou příkladech, které jsou zobrazeny jak v klasickém 3D grafu tak pomocí metody RadViz.
dcterms:title
RadViz a porozumění datům RadViz and Data Understanding RadViz and Data Understanding
skos:prefLabel
RadViz a porozumění datům RadViz and Data Understanding RadViz and Data Understanding
skos:notation
RIV/68407700:21230/07:03120760!RIV08-AV0-21230___
n3:strany
43;50
n3:aktivita
n9:P
n3:aktivity
P(1ET101210513)
n3:cisloPeriodika
1
n3:dodaniDat
n15:2008
n3:domaciTvurceVysledku
n11:5112605 n11:9942904
n3:druhVysledku
n7:J
n3:duvernostUdaju
n18:S
n3:entitaPredkladatele
n4:predkladatel
n3:idSjednocenehoVysledku
446345
n3:idVysledku
RIV/68407700:21230/07:03120760
n3:jazykVysledku
n12:eng
n3:klicovaSlova
Clustering; Data Mining; Data Understanding; RadViz; Visualization
n3:klicoveSlovo
n6:Clustering n6:Data%20Understanding n6:Data%20Mining n6:Visualization n6:RadViz
n3:kodStatuVydavatele
US - Spojené státy americké
n3:kontrolniKodProRIV
[4118F681DD60]
n3:nazevZdroje
WSEAS Transactions on Computers
n3:obor
n17:JC
n3:pocetDomacichTvurcuVysledku
2
n3:pocetTvurcuVysledku
2
n3:projekt
n8:1ET101210513
n3:rokUplatneniVysledku
n15:2007
n3:svazekPeriodika
6
n3:tvurceVysledku
Nováková, Lenka Štěpánková, Olga
s:issn
1109-2750
s:numberOfPages
8
n14:organizacniJednotka
21230