Visualizing High-Dimensional Temporal Data Using Direction-Aware t-SNE

arXiv:2403.19040v1 Announce Type: new
Abstract: Many real-world data sets contain a temporal component or involve transitions from state to state. For exploratory data analysis, we can represent these high-dimensional data sets in two-dimensional maps, using embeddings of the data objects under exploration and representing their temporal relationships with directed edges. Most existing dimensionality reduction techniques, such as t-SNE and UMAP, do not take into account the temporal or relational nature of the data when constructing the embeddings, resulting in temporally …

abstract analysis arxiv cs.hc cs.lg data data analysis data sets dimensionality embeddings exploration exploratory maps objects relationships state temporal transitions type world