4.5 Article

Burning Sage: Reversing the Curse of Dimensionality in the Visualization of High-Dimensional Data

期刊

出版社

TAYLOR & FRANCIS INC
DOI: 10.1080/10618600.2021.1963264

关键词

Dynamic graphics; Data science; Data visualization; Grand tour; Machine learning; Multivariate data; Statistical computing; Statistical graphics

资金

  1. Australian Research Council [DP170103884]

向作者/读者索取更多资源

In high-dimensional data analysis, the curse of dimensionality causes points to spread far from the center and be crowded at the edges. This article introduces a geometric transformation called the "burning sage tour" to reverse this curse, integrated seamlessly into the grand tour algorithm in R package tourr. Case studies demonstrate how sage visualizations enhance exploratory clustering and classification problems.
In high-dimensional data analysis, the curse of dimensionality reasons that points tend to be far away from the center of the distribution and on the edge of high-dimensional space. Contrary to this, is that projected data tends to clump at the center. This gives a sense that any structure near the center of the projection is obscured, whether this is true or not. A geometric transformation to reverse the curse, is defined in this article, which uses radial transformations on the projected data. It is integrated seamlessly into the grand tour algorithm, and we have called it a burning sage tour, to indicate that it reverses the curse. The work is implemented into the tourr package in R. Several case studies are included that show how the sage visualizations enhance exploratory clustering and classification problems. Supplementary files for this article are available online.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.5
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据