We present a new method GTSNE to visualize high-dimensional data points in the two dimensional map. The technique is a variation of t-SNE that produces better visualizations by capturing both the local neighborhood structure and the macro structure in the data. This is particularly important for high-dimensional data that lie on continuous low-dimensional manifolds. We illustrate the performance of GTSNE on a wide variety of datasets and compare it the state of art methods, including t-SNE and UMAP. The visualizations produced by GTSNE are better than those produced by the other techniques on almost all of the datasets on the macro structure preservation.
翻译:我们展示了一种新的方法GTSNE,在两维地图中直观地显示高维数据点。该技术是t-SNE的变异,通过在数据中捕捉当地邻居结构和宏观结构,产生更好的可视化。这对于位于连续低维多元体上的高维数据尤其重要。我们用各种数据集来说明GTSNE的性能,并比较包括t-SNE和UMAP在内的最新方法。GTSNE产生的可视化优于其他技术所生成的关于几乎所有宏观结构保护数据集的可视化。