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Found 4 papers, 1 papers with code
Accelerating hyperbolic t-SNE
The need to understand the structure of hierarchical or high-dimensional data is present in a variety of fields.
Tuning the perplexity for and computing sampling-based t-SNE embeddings
Further, we show how this approach speeds up the computation and increases the quality of the embeddings.
Incorporating Texture Information into Dimensionality Reduction for High-Dimensional Images
In this paper, we present a method for incorporating spatial neighborhood information into distance-based dimensionality reduction methods, such as t-Distributed Stochastic Neighbor Embedding (t-SNE).
Approximated and User Steerable tSNE for Progressive Visual Analytics
Progressive Visual Analytics aims at improving the interactivity in existing analytics techniques by means of visualization as well as interaction with intermediate results.
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