Dimensionality reduction techniques are widely used for visualizing high-dimensional data. However, support for interpreting patterns of dimension reduction results in the context of the original data space is often insufficient. Consequently, users may struggle to extract insights from the projections. In this paper, we introduce DimBridge, a visual analytics tool that allows users to interact with visual patterns in a projection and retrieve corresponding data patterns. DimBridge supports several interactions, allowing users to perform various analyses, from contrasting multiple clusters to explaining complex latent structures. Leveraging first-order predicate logic, DimBridge identifies subspaces in the original dimensions relevant to a queried pattern and provides an interface for users to visualize and interact with them. We demonstrate how DimBridge can help users overcome the challenges associated with interpreting visual patterns in projections.

翻译：降维技术被广泛用于高维数据的可视化。然而，在原始数据空间中解释降维结果模式的支撑工具往往不足，导致用户难以从投影中提取洞察。本文介绍DimBridge——一种可视分析工具，允许用户与投影中的视觉模式交互并检索相应数据模式。DimBridge支持多种交互方式，使用户能够执行从对比多个聚类到解释复杂潜在结构等多种分析。通过利用一阶谓词逻辑，DimBridge识别与查询模式相关的原始维度子空间，并提供交互式可视化界面。我们展示了DimBridge如何帮助用户克服解释投影中视觉模式所面临的挑战。