基于改进Sammon映射的辐射源个体特征有效性分析

Sammon映射算法将特征数据从高维映射到低维可视空间，并保持了高维空间中数据样本点之间的距离，可以对数据特征的有效性进行直观的可视化研究。利用自组织映射对特征数据的样本数量进行压缩预处理，降低Sammon算法的计算量，由此提出了改进型的SOSammon算法。通过对实测数据的分析表明，改进算法速度上优于原始算法，能够较好显示个体特征的散布特性。

Validity Analysis of Emitter Individual Features Based on An Improved Sammon Mapping

Sammon mapping is an non-linear projection to visualize high-dimensional data as low-dimensional image,well keeping the dissimilarity of original data points,it can be applied as analytic technique of emitter individual feature. It is presented that a new Sammon algorithm named SOSammon using self-organization mapping to compress the pattern number of feature data,which reduce the large numerical calculation.The analysis result of real data shows that the improved algorithm has better performance,and has be...