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A unified view on Self-Organizing Maps (SOMs) and Stochastic Neighbor Embedding (SNE) (2205.01492v1)
Published 3 May 2022 in cs.LG, cs.NE, and stat.ML
Abstract: 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.