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Statements

Subject Item
n2:RIV%2F61988987%3A17310%2F01%3A00000122%21RIV%2F2003%2FMSM%2F173103%2FN
rdf:type
n12:Vysledek skos:Concept
dcterms:description
This paper concerns the problem of object-oriented perspective in numerical clustering, which brings new possibilities of combination of various strategies of clustering. We first roughly investigate the problem of numerical clustering itself. Then we i ntroduce object model that enable to work with clusters themselves for all the time of computing, which brings new possibilities. Moreover for modeling various cluster methods we can exploit benefit of virtual procedure mechanism. The object model conta ins persistent objects too for it allows to work with huge amount of data not only during the time of a single application. Described approach is being tested on medical data. The whole application is developed using Mjolner BETA System and the BETA lan guage for its rich facilities of conceptual modeling. This paper concerns the problem of object-oriented perspective in numerical clustering, which brings new possibilities of combination of various strategies of clustering. We first roughly investigate the problem of numerical clustering itself. Then we i ntroduce object model that enable to work with clusters themselves for all the time of computing, which brings new possibilities. Moreover for modeling various cluster methods we can exploit benefit of virtual procedure mechanism. The object model conta ins persistent objects too for it allows to work with huge amount of data not only during the time of a single application. Described approach is being tested on medical data. The whole application is developed using Mjolner BETA System and the BETA lan guage for its rich facilities of conceptual modeling.
dcterms:title
Object-oriented Perspective in Clustering Object-oriented Perspective in Clustering
skos:prefLabel
Object-oriented Perspective in Clustering Object-oriented Perspective in Clustering
skos:notation
RIV/61988987:17310/01:00000122!RIV/2003/MSM/173103/N
n3:strany
155-160
n3:aktivita
n18:Z
n3:aktivity
Z(MSM 179000002)
n3:dodaniDat
n4:2003
n3:domaciTvurceVysledku
n20:9662057
n3:druhVysledku
n6:D
n3:duvernostUdaju
n13:S
n3:entitaPredkladatele
n15:predkladatel
n3:idSjednocenehoVysledku
689479
n3:idVysledku
RIV/61988987:17310/01:00000122
n3:jazykVysledku
n21:eng
n3:klicovaSlova
clustering, object-oriented modeling, persistent objects, BETA
n3:klicoveSlovo
n9:persistent%20objects n9:BETA n9:object-oriented%20modeling n9:clustering
n3:kontrolniKodProRIV
[7B8E8A582927]
n3:mistoVydani
Brno
n3:nazevZdroje
MENDEL 2001 7th International Conference on Soft Computing Brno
n3:obor
n19:JD
n3:pocetDomacichTvurcuVysledku
1
n3:pocetTvurcuVysledku
1
n3:pocetUcastnikuAkce
0
n3:pocetZahranicnichUcastnikuAkce
0
n3:rokUplatneniVysledku
n4:2001
n3:tvurceVysledku
Huňka, František
n3:typAkce
n8:CST
n3:zahajeniAkce
2001-06-06+02:00
n3:zamer
n16:MSM%20179000002
s:numberOfPages
6
n14:hasPublisher
Vysoké učení technické v Brně
n10:isbn
80-214-1894-X
n5:organizacniJednotka
17310