Open Access
Volume 36, Number 6, December 2018
Page(s) 1121 - 1128
Published online 12 March 2019
  1. Endsley M R. Toward a Theory of Situation Awareness in Dynamic Systems[J]. Human Factors the Journal of the Human Factors & Ergonomics Society, 1995, 37(1): 32-64 [Article] [CrossRef] [Google Scholar]
  2. Lin Hongwen, Yang Shaoqing. Space Aggregation Method of Aerial Targets[J]. Ship Electronic Engineering, 2012, 32(6): 43-45 (in Chinese) [Article] [Google Scholar]
  3. Wang Xinwei, Yang Shaoqing, Lin Hongwen, et al. Target Clustering Technology in Sea Battlefield[J]. Ship Electronic Engineering, 2013, 33(11): 25-27, 111 (in Chinese) [Article] [Google Scholar]
  4. Zhang Xuliang, Zhang Hongjun, Qi Xiuli, et al. A Clustering Method of Land Battlefield Maneuvering Targets Based on Improved K-Means Algorithm[J]. Information Technology, 2016 (3): 128-131 (in Chinese) [Article] [Google Scholar]
  5. Huang Lei, Guo Lei. Method of Clustering about Situation Assessment[J]. Journal of Computer Applications, 2006, 26(5): 1109-1110, 1129 (in Chinese) [Article] [Google Scholar]
  6. Yuan Deping, Zheng Juanyi, Shi Haoshan, et al. Target Grouping Algorithm Based on Multiple Combat Formations[J]. Computer Science, 2016, 43(2): 235-238, 244 (in Chinese) [Article] [Google Scholar]
  7. Rodriguez A, Laio A. Machine learning Clustering by Fast Search and Find of Density Peaks[J]. Science, 2014, 344(6191): 1492-1496 [Article] [NASA ADS] [CrossRef] [Google Scholar]
  8. Xing Chen. Research on the Method of Object Grouping in Flight Situation Awareness[D]. Tianjin, Civil Aviation University of China, 2017 (in Chinese) [Google Scholar]
  9. Gan Wenyan, Liu Chong. An Improved Clustering Algorithm that Searches and Finds Density Peaks[J]. CAAI Transactions on Intelligent Systems, 2017, 12(2): 229-236 (in Chinese) [Article] [Google Scholar]
  10. Li D, Wang S, Gan W, et al. Data Field for Hierarchical Clustering[J]. International Journal of Data Warehousing & Mining, 2011, 7(4): 43-63 [Article] [CrossRef] [Google Scholar]
  11. Wang S, Li Y, Wang D. Data Field for Mining Big Data[J]. Geo-Spatial Information Science, 2016, 19(2): 106-118 [Article] [CrossRef] [Google Scholar]
  12. Wang S, Wang D, Li C, et al. Clustering by Fast Search and Find of Density Peaks with Data Field[J]. Chinese Journal of Electronics, 2016, 25(3): 397-402 [Article] [CrossRef] [Google Scholar]
  13. Dai Jiao, Zhang Mingxin, Zheng Jinlong, et al. Optimization of Fast Clustering Algorithm Based on Density Peaks[J]. Computer Engineering and Design, 2016, 37(11): 2979-2984 (in Chinese) [Article] [Google Scholar]
  14. Joshua B Tenenbaum, Vin de Silva, John C Langford. A Global Geometric Framework for Nonlinear Dimensionality Reduction[J]. Science, 2000, 290(5500): 2319-2323 [Article] [NASA ADS] [CrossRef] [PubMed] [Google Scholar]
  15. Ma Meng, The Study and the Application of Clustering Algorithm based on Manifold Distance[D]. Xi'an, Xidian University, 2010 (in Chinese) [Google Scholar]

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