Efficient global clustering using the Greedy Elimination Method
Z.S.H. Chan, Nikola Kirilov Kasabov · Electronics Letters · 2004
A novel global clustering method called the Greedy Elimination Method is presented. Experiments show that the proposed method scores significantly lower clustering errors than the standard K-means over two benchmark and two application datasets, and it is efficient for handling large datasets.