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.
翻译:映像算法是来自地形学数据分析的流行工具,用于提取高维数据集的地形学摘要。本文介绍“映像人互动互动分析和高维点云数据可视化的网络框架“地图人互动互动互动分析”。它以互动、可缩放和易于扩展的方式实施映像人算法,从而支持实用的数据分析。特别是,它的指令线 API 可以在大约3分钟内(比香草实施速度快4倍)为256维的100万个点计算映像人图形。它的视觉界面允许根据用户指定的参数对映像人图进行实时计算和操作,并支持增加带有几行代码的新分析模块。“地图人互动”使非专家能够访问地图人算法,加速地形分析工作流程。