About: Clustering algorithms based on sampling

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	This paper deals with the description and the comparison of selected algorithms for clustering large datasets. A common feature of observed algorithms is attempt to decrease of time-consuming process of clustering by reducing the number of passages through the data file and by using different sampling methods. In some cases, sampling is done one-time passage of a data file in which they are constructed trees of various types (R -trees, CF- trees). Using the resulting tree is created a file representing the structure of the original data file, but with much smaller number of objects. In other cases, the data sample chosen at random. Custom clustering already takes place only within this sample file. When further steps are created clusters are modified within one or a few passages through the original file. This paper deals with the description and the comparison of selected algorithms for clustering large datasets. A common feature of observed algorithms is attempt to decrease of time-consuming process of clustering by reducing the number of passages through the data file and by using different sampling methods. In some cases, sampling is done one-time passage of a data file in which they are constructed trees of various types (R -trees, CF- trees). Using the resulting tree is created a file representing the structure of the original data file, but with much smaller number of objects. In other cases, the data sample chosen at random. Custom clustering already takes place only within this sample file. When further steps are created clusters are modified within one or a few passages through the original file. (en)
Title	Clustering algorithms based on sampling Clustering algorithms based on sampling (en)
skos:prefLabel	Clustering algorithms based on sampling Clustering algorithms based on sampling (en)
skos:notation	RIV/44555601:13510/12:43884859!RIV13-MSM-13510___
http://linked.open...avai/predkladatel	Fakulta sociálně ekonomická
http://linked.open...avai/riv/aktivita	I
http://linked.open...avai/riv/aktivity	I
http://linked.open...iv/cisloPeriodika	2
http://linked.open...vai/riv/dodaniDat	2013
http://linked.open...aciTvurceVysledku	Žambochová, Marta
http://linked.open.../riv/druhVysledku	J - Článek v odborném periodiku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Univerzita Jana Evangelisty Purkyně v Ústí nad Labem / Fakulta sociálně ekonomická
http://linked.open...dnocenehoVysledku	127489
http://linked.open...ai/riv/idVysledku	RIV/44555601:13510/12:43884859
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	trees; sampling; processing time; large dataset; clustering (en)
http://linked.open.../riv/klicoveSlovo	clustering sampling trees large dataset processing time
http://linked.open...odStatuVydavatele	CZ - Česká republika
http://linked.open...ontrolniKodProRIV	[35B6CE53E82E]
http://linked.open...i/riv/nazevZdroje	Informační Bulletin České statistické společnosti
http://linked.open...in/vavai/riv/obor	BB
http://linked.open...ichTvurcuVysledku	1 (xsd:int)
http://linked.open...cetTvurcuVysledku	1 (xsd:int)
http://linked.open...UplatneniVysledku	2012
http://linked.open...v/svazekPeriodika	23
http://linked.open...iv/tvurceVysledku	Žambochová, Marta
issn	1210-8022
number of pages	10 (xsd:int)
http://localhost/t...ganizacniJednotka	13510
is http://linked.open...avai/riv/vysledek of	Clustering algorithms based on sampling

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