Aerial Targets Clustering with Unknown Cluster Number
- https://doi.org/10.2991/caai-18.2018.33How to use a DOI?
- target clustering; affinity propagation; cluster number; BWP index
Aiming at the uncertainty of enemy target cluster number in aerial targets clustering process, an improved affinity propagation(AP) algorithm is adopted to determine the target cluster number and clustering result. Firstly, Between-Within Propagation(BWP) index is used as the measure of cluster effectiveness, and Bisection method is used to determine the optimal number of clusters;. Secondly, scanning of preferences subspace corresponding to the optimal cluster number, and determine the clustering result. Finally, the effectiveness and stability of the improved affinity propagation algorithm are verified by experiments.
- © 2018, 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 - Wangwang Zhou AU - Peiyang Yao AU - Shuai Wei PY - 2018/08 DA - 2018/08 TI - Aerial Targets Clustering with Unknown Cluster Number BT - Proceedings of the 2018 3rd International Conference on Control, Automation and Artificial Intelligence (CAAI 2018) PB - Atlantis Press SP - 142 EP - 145 SN - 2589-4919 UR - https://doi.org/10.2991/caai-18.2018.33 DO - https://doi.org/10.2991/caai-18.2018.33 ID - Zhou2018/08 ER -