首页> 外文会议>International Conference on Computer Science and Electronics Engineering >A new hybrid clustering algorithm based on K-means and ant colony algorithm
【24h】

A new hybrid clustering algorithm based on K-means and ant colony algorithm

机译:一种基于K型和蚁群算法的新混合聚类算法

获取原文

摘要

K-means algorithm and ant clustering algorithm are all traditional algorithms. The two algorithms can complement each other. The combination of two algorithms will improve clustering's accuracy and speed up algorithm' convergence. Tests prove hybrid clustering algorithm is more effective than each above-mentioned algorithm. Especially, the new algorithm has good results in image segmentation.
机译:K-means算法和蚂蚁聚类算法是所有传统算法。这两个算法可以相互补充。两种算法的组合将提高聚类的准确性和加速算法的融合。测试证明混合聚类算法比上述算法更有效。特别是,新算法在图像分割中具有良好的结果。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号