Aerial Targets Clustering with Unknown Cluster Number

DOI

10.2991/caai-18.2018.33How to use a DOI?

Keywords

target clustering; affinity propagation; cluster number; BWP index

Abstract

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.

Copyright

© 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/).

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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  - 10.2991/caai-18.2018.33
ID  - Zhou2018/08
ER  -