Rok Podgornik (Avtor), Marijan Zafred (Avtor), Anja Pajtler (Avtor)

Povzetek

The goal of our work is to evaluate the performance of k-means clustering method. We created three (or two) groups of units, which compose one of our three different structures. First we created groups, which were clearly separated in three-dimensional space, and then we started to decrease the differences among them with increasing the data dispersion at keeping the centroids constant. We wanted to find out how long we can continue with this process until we still get satisfactory results at clustering of units into groups. Six different methods of clustering were used (with different initial cluster centers) and we evaluated every one of them. In comparison with initial clustering we are observing three criteria: percentage of correctly clustered units, centroids dislocation and value of criteria function. The results of clustering are presented graphically with added values of three chosen criteria for better possibility of evaluation. For the simulation of the data and graphical presentation we used program package R.

Ključne besede

Razvrščanje v skupine;Metodologija;Simulacija;

Podatki

Jezik: Angleški jezik
Leto izida:
Tipologija: 1.01 - Izvirni znanstveni članek
Organizacija: UL FDV - Fakulteta za družbene vede
Založnik: Fakulteta za družbene vede
UDK: 303
COBISS: 23283293 Povezava se bo odprla v novem oknu
ISSN: 1854-0023
Št. ogledov: 863
Št. prenosov: 137
Ocena: 0 (0 glasov)
Metapodatki: JSON JSON-RDF JSON-LD TURTLE N-TRIPLES XML RDFA MICRODATA DC-XML DC-RDF RDF

Ostali podatki

Sekundarni jezik: Neznan jezik
Sekundarne ključne besede: Cluster analysis;Methodology;Simulation;
URN: URN:NBN:SI
Vrsta dela (COBISS): Delo ni kategorizirano
Strani: str. 75-97
Letnik: ǂLetn. ǂ1
Zvezek: ǂšt. ǂ1
Čas izdaje: 2004
Ključne besede (UDK): social sciences;družbene vede;methods of the social sciences;metode družbenih ved;
ID: 38290