Research Combination Method of Parameter m based on Ant Colony Clustering

DOI

10.2991/emcs-16.2016.314How to use a DOI?

Keywords

Clustering; Ant colony algorithm; K-means; Clustering combination

Abstract

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.

Copyright

© 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/).

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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  - 10.2991/emcs-16.2016.314
ID  - Xiao2016/01
ER  -