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基于萤火虫算法的近邻传播聚类研究

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摘要 针对近邻传播聚类(AP)中偏向参数和阻尼因子对聚类效果的影响,将偏向参数和阻尼因子作为萤火虫算法中的亮度和吸引度,通过群体智能算法在搜索空间中寻找偏向参数和阻尼因子,从而提高AP算法的聚类质量.实验表明,该算法能提高聚类质量.
出处 《网络安全技术与应用》 2019年第12期48-50,共3页 Network Security Technology & Application
基金 河南省科技攻关项目(182102210114) 南阳师范学院校级科研项目(2019QN020)。
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  • 1刘靖明,韩丽川,侯立文.基于粒子群的K均值聚类算法[J].系统工程理论与实践,2005,25(6):54-58. 被引量:122
  • 2GELBARD R,GOLDMAN O,SPIEGLER I.Investigating diversity of clustering methods:an empirical comparison[J].Data&Knowledge Engineering,2007,63(1):155-166.
  • 3FREY B J,DUECK D.Clustering by passing messages between data points[J].Science,2007,315(5814):972-976.
  • 4KANG J H,LERMAN K,PLANGPRASOPCHOK A.Analyzing mi-croblogs with affinity propagation[C]//Proc of the1st Workshop on Social Media Analytics.New York:ACM Press,2010:67-70.
  • 5CHEN Yang,LORENZO B,SUN Feng-yue,et al.A fuzzy statistics based affinity propagation technique for clustering in multispectral im-ages[J].IEEE Trans on Geosciences and Remote Sensing,2010,48(6):2647-2659.
  • 6GIVONI E,FREY B J.A binary variable model for affinity propaga-tion[J].Neural Computation,2009,21(6):1589-1600.
  • 7BRRAND M.Charting a manifold[M]//Advances in Neural Informa-tion Processing Systems.Cambridge,MA:MIT Press,2003.
  • 8NG A Y,JORDAN M I,WEISS Y.On spectral clustering:analysis and an algorithm[M]//Advances in Neural Information Processing Systems.Cambridge,MA:MIT Press,2002:856-864.
  • 9Frey B J, Dueck D. Clustering by passing messages between data points. Science, 2007, 315(5814): 972-976
  • 10Kelly K. Affinity program slashes computing times [Online], available: http://www.news.utoronto.ca/bin6/070215-2952. asp. October 25, 2007

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