密度峰值聚类算法(Density peaks clustering,DPC)是一种基于密度的新型聚类算法。该算法的优点十分显著:所需参数较少,没有迭代过程,能自适应获得聚类数目并识别任意形状的簇类。该算法也有一些问题亟待解决:(1)在决策图上人工选择聚...密度峰值聚类算法(Density peaks clustering,DPC)是一种基于密度的新型聚类算法。该算法的优点十分显著:所需参数较少,没有迭代过程,能自适应获得聚类数目并识别任意形状的簇类。该算法也有一些问题亟待解决:(1)在决策图上人工选择聚类中心,产生聚类误差;(2)在密度不同的流形数据集上聚类效果不佳。针对这些不足,该文提出一种基于电子分层模型和凝聚策略的密度峰值聚类算法(Density peaks clustering based on electronic shells model and merging strategy,EMDPC)。其利用电子分层模型计算每个数据点的局部密度,更易识别出低密度簇;通过子簇凝聚策略自适应识别簇类数目,降低了人工选取聚类中心时误差发生的概率;并且子簇凝聚策略能较好地解决DPC在密度不均匀的流形数据上聚类效果不佳的问题。实验分析表明基于电子分层模型和凝聚策略的密度峰值聚类算法具有较高的精度和较好的聚类性能,其结果优于其他先进的聚类算法。展开更多
In this study, the relationship between the neutral components （N2 and 02） in the E-region of the ionosphere （at 110 km altitude） for the Singapore （01.23 N; 103.55 E） station in the equatorial region and the FI...In this study, the relationship between the neutral components （N2 and 02） in the E-region of the ionosphere （at 110 km altitude） for the Singapore （01.23 N; 103.55 E） station in the equatorial region and the FI0.7 solar flux and z-component of Interplanetary Magnetic Field （IMF-Bz） was investigated. This relationship was determined by means of statistical multiple regression model. As a result, it was observed that the changes in F10.7 solar flux and IMF-Bz were inversely proportional to the changes in N2 and 02. 92% and 83% of changes in N2 and O2 were found to be explained by F10.7 solar flux and IMF-Bz, respectively. When the F10.7 solar flux is changed by 1 s.f.u., it causes a decrease of 2.61×10TM m-3 in N2 and 2.96×1014 m-3 in O2. Change of I nT in IMF-Bz causes a decrease of 9.95× 1015 m-3 in N2 and 1.69× 1015 m-3 in O2.展开更多
Based on the magnetospheric kinetic theory, a model is developed to specify the flux of energetic electrons in the inner and middle magnetosphere. Under the assumption of adiabatic motion and isotropic particle distri...Based on the magnetospheric kinetic theory, a model is developed to specify the flux of energetic electrons in the inner and middle magnetosphere. Under the assumption of adiabatic motion and isotropic particle distribution maintained by pitch-angle scattering, the model calculates the electron flux by following bounce-averaged electric field, gradient, and curvature drift in the time dependent electric and magnetic field, meanwhile it counts the electron loss caused by pitch angle scattering. Using the model, the clectron flux distribution during a magnetic storm was calculated and compared with the observation data from the geosynchronous orbit. It is shown that the model can successfully reproduce most of the major electron flux enhancements observed at the geosynchronous orbit and generally tracks the satellite data well. The rms errors of the modeled logarithm of flux are between 0.5-1.0.展开更多
文摘密度峰值聚类算法(Density peaks clustering,DPC)是一种基于密度的新型聚类算法。该算法的优点十分显著:所需参数较少,没有迭代过程,能自适应获得聚类数目并识别任意形状的簇类。该算法也有一些问题亟待解决:(1)在决策图上人工选择聚类中心,产生聚类误差;(2)在密度不同的流形数据集上聚类效果不佳。针对这些不足,该文提出一种基于电子分层模型和凝聚策略的密度峰值聚类算法(Density peaks clustering based on electronic shells model and merging strategy,EMDPC)。其利用电子分层模型计算每个数据点的局部密度,更易识别出低密度簇;通过子簇凝聚策略自适应识别簇类数目,降低了人工选取聚类中心时误差发生的概率;并且子簇凝聚策略能较好地解决DPC在密度不均匀的流形数据上聚类效果不佳的问题。实验分析表明基于电子分层模型和凝聚策略的密度峰值聚类算法具有较高的精度和较好的聚类性能,其结果优于其他先进的聚类算法。
文摘In this study, the relationship between the neutral components （N2 and 02） in the E-region of the ionosphere （at 110 km altitude） for the Singapore （01.23 N; 103.55 E） station in the equatorial region and the FI0.7 solar flux and z-component of Interplanetary Magnetic Field （IMF-Bz） was investigated. This relationship was determined by means of statistical multiple regression model. As a result, it was observed that the changes in F10.7 solar flux and IMF-Bz were inversely proportional to the changes in N2 and 02. 92% and 83% of changes in N2 and O2 were found to be explained by F10.7 solar flux and IMF-Bz, respectively. When the F10.7 solar flux is changed by 1 s.f.u., it causes a decrease of 2.61×10TM m-3 in N2 and 2.96×1014 m-3 in O2. Change of I nT in IMF-Bz causes a decrease of 9.95× 1015 m-3 in N2 and 1.69× 1015 m-3 in O2.
基金supported by the National Natural Science Foundation of China(Grant No.40704032)
文摘Based on the magnetospheric kinetic theory, a model is developed to specify the flux of energetic electrons in the inner and middle magnetosphere. Under the assumption of adiabatic motion and isotropic particle distribution maintained by pitch-angle scattering, the model calculates the electron flux by following bounce-averaged electric field, gradient, and curvature drift in the time dependent electric and magnetic field, meanwhile it counts the electron loss caused by pitch angle scattering. Using the model, the clectron flux distribution during a magnetic storm was calculated and compared with the observation data from the geosynchronous orbit. It is shown that the model can successfully reproduce most of the major electron flux enhancements observed at the geosynchronous orbit and generally tracks the satellite data well. The rms errors of the modeled logarithm of flux are between 0.5-1.0.
