投影与切片浏览的新型简化手动控制及其在高维分类边界探索中的应用

New and Simplified Manual Controls for Projection and Slice Tours, With Application to Exploring Classification Boundaries in High Dimensions

Journal of Computational and Graphical Statistics · 2023
被引 3
ABS 3

中文导读

本文介绍了通过低维线性投影和切片来检查高维数据的新型用户控制方法,用户可交互调整变量贡献或切片中心,并提供了Mathematica和R包实现,特别适用于探索分类模型的区域和边界。

Abstract

This article describes new user controls for examining high-dimensional data using low-dimensional linear projections and slices. A user can interactively change the contribution of a given variable to a low-dimensional projection, which is useful for exploring the sensitivity of structure to particular variables. The user can also interactively shift the center of a slice, for example, to explore how structure changes in local subspaces. The Mathematica package as well as example notebooks are provided, which contain functions enabling the user to experiment with these new manual controls, with one specifically for exploring regions and boundaries produced by classification models. The advantage of Mathematica is its linear algebra capabilities and interactive cursor location controls. Some limited implementation has also been made available in the R package tourr. Supplementary materials for this article are available online.

数据可视化高维数据分析人机交互分类模型