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