To improve the running efficiency of the algorithm, the stochastic mapping of the patterns was modified based on principal component analysis.
为了提高群体智能聚类算法的运行效率，提出了利用主成分分析改善模式投影时的随机性。
Comparative analysis has been made through an application instance, verify that the modified algorithm has a higher efficiency, and be able to get a better positioning result.
通过应用实例对比分析，验证了改进算法具有更高的效率，并能够得到较优的定位结果。
Theoretical analysis and experimental results show that the proposed ellipse detection algorithm has the advantages of high robustness, wide applicability, high accuracy and good efficiency.
理论分析和实验结果表明，所开发的椭圆提取算法具有鲁棒性强、适用范围广、精度高、速度快等优点。
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