Multi thresholds clustering objects on spatial network
To increase the accuracy of the clustering and find the hidden clusters on a spatial network, the necessity of multiple thresholds selection on a spatial network is analyzed, the similar feature of the objects is extracted, the scheme of multiple thresholds based on support vector regression(SVR) is proposed and the existing algorithm is improved.Performance analysis and experimental results indicate that the multiple thresholds scheme can achieve high efficiency and accuracy for clustering objects based in a road network.