A unified view on Self-Organizing Maps (SOMs) and Stochastic Neighbor Embedding (SNE). (arXiv:2205.01492v1 [cs.LG])

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.

arxiv embedding maps stochastic