Improving the Performance of K-Means Clustering Algorithm to Position the Centres of RBF Network
Mohd Yusoff Mashor · 1998
This paper proposed two updating methods to improve the clustering performance of adaptive k-means clustering. The proposed updating methods are suitable for off-line and on-line clustering. The capability of the updating methods are then compared to the existing updating methods using simulated and real data sets. Simulation results showed that the proposed updating methods have significantly improved the overall performance of RBF network. This paper also investigates some properties of adaptation method for on-line adaptive k-means clustering algorithm. Back to top