Lens functions for exploring UMAP Projections with Domain Knowledge

arXiv:2405.09204v1 Announce Type: new
Abstract: Dimensionality reduction algorithms are often used to visualise high-dimensional data. Previously, studies have used prior information to enhance or suppress expected patterns in projections. In this paper, we adapt such techniques for domain knowledge guided interactive exploration. Inspired by Mapper and STAD, we present three types of lens functions for UMAP, a state-of-the-art dimensionality reduction algorithm. Lens functions enable analysts to adapt projections to their questions, revealing otherwise hidden patterns. They filter the modelled connectivity …

arxiv cs.cg cs.hc cs.lg domain domain knowledge functions knowledge lens type umap