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Pregled bibliografske jedinice broj: 752060

Časopis

Autori: Vidović, Ivan; Bajer, Dražen; Scitovski, Rudolf
Naslov: A new fusion algorithm for fuzzy clustering
( A new fusion algorithm for fuzzy clustering )
Izvornik: Croatian Operational Research Review (1848-0225) 5 (2014), 2; 149-159
Vrsta rada: članak
Ključne riječi: fusion algorithm; fuzzy clustering; Mahalanobis clustering; cluster merging; Davies-Bouldin index
( fusion algorithm; fuzzy clustering; Mahalanobis clustering; cluster merging; Davies-Bouldin index )
Sažetak:
In this paper we have considered the merging problem of two ellipsoidal clusters in order to construct a new fusion algorithm for fuzzy clustering.We have proposed a criterion for merging two ellipsoidal clusters $\pi_1, \pi_2$ with associated main Mahalanobis circles $E_j(c_j, \sigma_j)$, where $c_j$ is the centroid and $\sigma^2_j$ is the Mahalanobis variance of cluster $\pi_j$. Based on the well- known Davies-Bouldin index we have constructed a new fusion algorithm. The criterion has been tested on several data sets, and the performance of the fusion algorithm has been demonstrated on an illustrative example.
Izvorni jezik: eng
Rad je indeksiran u
bazama podataka:
EconLit
Emerging Sources Citation Index (ESCI) (sastavni dio Web of Science Core Collectiona)
Kategorija: Znanstveni
Znanstvena područja:
Matematika,Računarstvo
URL cjelovitog teksta:
Časopis izlazi u samo elektroničkom izdanju: NE
Google Scholar: A new fusion algorithm for fuzzy clustering
Upisao u CROSBI: Dražen Bajer (drazen.bajer@etfos.hr), 17. Vel. 2015. u 19:10 sati



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