论文标题
关于自组织地图（SOM）和随机邻居嵌入（SNE）的统一观点
A unified view on Self-Organizing Maps (SOMs) and Stochastic Neighbor Embedding (SNE)
论文作者
论文摘要
我们对两种广泛使用的数据可视化技术提出了一个统一的视图：自组织图（SOM）和随机邻居嵌入（SNE）。我们证明它们既可以源自通用的数学框架。利用这种表述，我们建议在两个数据集上定量比较SOM和SNE，并讨论未来工作以利用这两种方法的途径。
We propose a unified view on two widely used data visualization techniques: Self-Organizing Maps (SOMs) and Stochastic Neighbor Embedding (SNE). We show that they can both be derived from a common mathematical framework. Leveraging this formulation, we propose to compare SOM and SNE quantitatively on two datasets, and discuss possible avenues for future work to take advantage of both approaches.
