Research Combination Method of Parameter m based on Ant Colony Clustering
- https://doi.org/10.2991/emcs-16.2016.314How to use a DOI?
- Clustering; Ant colony algorithm; K-means; Clustering combination
With the development of data mining, a large number of new clustering algorithms, such as ant colony clustering algorithm, are emerging.The ant-based clustering parameter values in different circumstances often will has a significant impact on the performance and efficiency of the algorithm. In this paper, based on the research of ant colony clustering and K- method combination algorithm (KMAOC), we discuss and analyze the m value of the parameters of the ant colony. Respectively experimental values by several groups of experimental verification are provided to show the better proposal that a KMAOC ant algorithm parameters are better to configure the number of m.
- © 2016, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Qun Xiao AU - Jieqing Xing AU - Xiangyi Li PY - 2016/01 DA - 2016/01 TI - Research Combination Method of Parameter m based on Ant Colony Clustering BT - Proceedings of the 2016 International Conference on Education, Management, Computer and Society PB - Atlantis Press SP - 1270 EP - 1273 SN - 2352-538X UR - https://doi.org/10.2991/emcs-16.2016.314 DO - https://doi.org/10.2991/emcs-16.2016.314 ID - Xiao2016/01 ER -