Mapper Interactive: A Scalable, Extendable, and Interactive Toolbox for the Visual Exploration of High-Dimensional Data
Mapper Interactive: A Scalable, Extendable, and Interactive Toolbox for the Visual Exploration of High-Dimensional Data
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DOI：
10.1109/pacificvis52677.2021.00021
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发表时间：
2020-11
期刊：
影响因子：
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通讯作者：
Youjia Zhou;N. Chalapathi;Archit Rathore;Yaodong Zhao;Bei Wang
中科院分区：
文献类型：
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作者：
Youjia Zhou;N. Chalapathi;Archit Rathore;Yaodong Zhao;Bei Wang
映射器算法是拓扑数据分析的一种流行工具，用于提取高维数据集的拓扑摘要。在本文中，我们提出了Mapper Interactive，这是一个基于Web的框架，用于进行高维点云数据的交互式分析和可视化。它以交互式，可扩展且易于扩展的方式实现了映射器算法，从而支持实际数据分析。特别是，其命令行API可以在大约3分钟内计算100万点的映射图（比香草实施快4倍）。它的视觉界面允许基于用户指定参数对映射器图进行直接计算和操纵，并支持使用几行代码来添加新的分析模块。 Mapper Interactive使映射器算法可以访问非专业主义者，并加速了拓扑分析工作流程。
The mapper algorithm is a popular tool from topological data analysis for extracting topological summaries of high-dimensional datasets. In this paper, we present Mapper Interactive, a web-based framework for the interactive analysis and visualization of high-dimensional point cloud data. It implements the mapper algorithm in an interactive, scalable, and easily extendable way, thus supporting practical data analysis. In particular, its command-line API can compute mapper graphs for 1 million points of 256 dimensions in about 3 minutes (4 times faster than the vanilla implementation). Its visual interface allows on-the-fly computation and manipulation of the mapper graph based on user-specified parameters and supports the addition of new analysis modules with a few lines of code. Mapper Interactive makes the mapper algorithm accessible to nonspecialists and accelerates topological analytics workflows.