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t-viSNE: Interactive Assessment and Interpretation of t-SNE Projections
April 19, 2024, 4:42 a.m. | Angelos Chatzimparmpas, Rafael M. Martins, Andreas Kerren
cs.LG updates on arXiv.org arxiv.org
Abstract: t-Distributed Stochastic Neighbor Embedding (t-SNE) for the visualization of multidimensional data has proven to be a popular approach, with successful applications in a wide range of domains. Despite their usefulness, t-SNE projections can be hard to interpret or even misleading, which hurts the trustworthiness of the results. Understanding the details of t-SNE itself and the reasons behind specific patterns in its output may be a daunting task, especially for non-experts in dimensionality reduction. In this …
abstract applications arxiv assessment cs.hc cs.lg data distributed domains embedding interactive interpretation multidimensional popular results stat.ml stochastic type visualization
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