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- W4294791359 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." @default.
- W4294791359 created "2022-09-06" @default.
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- W4294791359 date "2022-01-01" @default.
- W4294791359 modified "2023-10-13" @default.
- W4294791359 title "A Unified View on Self-Organizing Maps (SOMs) and Stochastic Neighbor Embedding (SNE)" @default.
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- W4294791359 doi "https://doi.org/10.1007/978-3-031-15931-2_38" @default.
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