A new fusion algorithm for fuzzy clustering
Ivan Vidović, Dražen Bajer, Rudolf Scitovski · Croatian Operational Research Review · 2014
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 π1, π2 with associated main Mahalanobis circles Ej(cj, σj), where cj is the centroid and σ 2 j is the Mahalanobis variance of cluster πj.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.