Izvorni znanstveni članak

https://doi.org/10.17535/crorr.2014.0004

A new fusion algorithm for fuzzy clustering

Ivan Vidović ; Elektrotehnički fakultet, Sveučilište Josipa Jurja Strossmayera u Osijeku
Dražen Bajer ; Elektrotehnički fakultet, Sveučilište Josipa Jurja Strossmayera u Osijeku
Rudolf Scitovski ; Odjel za matematiku, Sveučilište Josipa Jurja Strossmayera u Osijeku

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 ∏1, ∏2 with associated main Mahalanobis circles Ej(cj,σj), where cj is the centroid and σ^2j is the Mahalanobis variance of cluster ∏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.

Ključne riječi

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

Hrčak ID:

133693

URI

https://hrcak.srce.hr/133693

Datum izdavanja:

30.12.2014.

Posjeta: 1.758 *