Pregled bibliografske jedinice broj: 752060
A new fusion algorithm for fuzzy clustering
A new fusion algorithm for fuzzy clustering // Croatian operational research review, 5 (2014), 2; 149-159 (međunarodna recenzija, članak, znanstveni)
CROSBI ID: 752060 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
A new fusion algorithm for fuzzy clustering
Autori
Vidović, Ivan ; Bajer, Dražen ; Scitovski, Rudolf
Izvornik
Croatian operational research review (1848-0225) 5
(2014), 2;
149-159
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
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
Engleski
Znanstvena područja
Matematika, Računarstvo
POVEZANOST RADA
Ustanove:
Fakultet elektrotehnike, računarstva i informacijskih tehnologija Osijek,
Sveučilište u Osijeku, Odjel za matematiku
Citiraj ovu publikaciju:
Časopis indeksira:
- Web of Science Core Collection (WoSCC)
- Emerging Sources Citation Index (ESCI)
- EconLit
Uključenost u ostale bibliografske baze podataka::
- EconLit
- INSPEC
- Zentrallblatt für Mathematik/Mathematical Abstracts