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Pregled bibliografske jedinice broj: 752060

A new fusion algorithm for fuzzy clustering


Vidović, Ivan; Bajer, Dražen; Scitovski, Rudolf
A new fusion algorithm for fuzzy clustering // Croatian Operational Research Review, 5 (2014), 2; 149-159 (međunarodna recenzija, članak, znanstveni)


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

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