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A new fusion algorithm for fuzzy clustering (CROSBI ID 216371)

Prilog u časopisu | izvorni znanstveni rad | međunarodna recenzija

Vidović, Ivan ; Bajer, Dražen ; Scitovski, Rudolf A new fusion algorithm for fuzzy clustering // Croatian operational research review, 5 (2014), 2; 149-159

Podaci o odgovornosti

Vidović, Ivan ; Bajer, Dražen ; Scitovski, Rudolf

engleski

A new fusion algorithm for fuzzy clustering

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.

fusion algorithm; fuzzy clustering; Mahalanobis clustering; cluster merging; Davies-Bouldin index

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Podaci o izdanju

5 (2)

2014.

149-159

objavljeno

1848-0225

1848-9931

Povezanost rada

Računarstvo, Matematika

Indeksiranost