381 KB17 KB197720261999Korenjak-Černe, Simonaletnik:23številka:4str. 507-511ISSN:0350-5596COBISSID:9345113URN:URN:NBN:SI:doc-YKR3G2R1enSlovensko društvo InformatikaInformatica (Ljubljana)matematična statistikapodatkovne bazerazvrščanjeAdapted methods for clustering large datasets of mixed units|The proposed clustering methods are based on the recoding of the original mixed units and their clusters into a uniform representation. The description of a clusters consists for each variable of the frequencies of the variable values over its range partition. The proposed representation can be used also for clustering symbolic data. On the basis of this representation the adapted version of the leaders method and adding clustering method were implemented. We describe both approaches, which were successfully applied on several large datasetsPredstavljeni metodi temeljita na predhodni pretvorbi mešanih opisov enot in skupin v enovito predstavitev. Opis skupine sestavlja vektor, v katerem imamo za vsako komponento podano frekvenčno porazdelitev po razredih zaloge vrednosti komponent ustrezne spremenljivke. Taka predstavitev omogoča tudi razvrščanje simboličnih podatkov. V delu predstavljamo takim predstavitvam enot prilagojeno metodo voditeljev in metodo dodajanja, ki sta bili uporabljeni na več velikih množicah podatkovTEXTznanstveno časopisjejournalsSlovenian National E-content AggregatorNational and University Library of SloveniaSlovensko društvo Informatika