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The mapper algorithm is a popular tool from topological data analysis forextracting topological summaries of high-dimensional datasets. In this paper,we present Mapper Interactive, a web-based framework for the interactiveanalysis and visualization of high-dimensional point cloud data. It implementsthe mapper algorithm in an interactive, scalable, and easily extendable way,thus supporting practical data analysis. In particular, its command-line APIcan compute mapper graphs for 1 million points of 256 dimensions in about 3minutes (4 times faster than the vanilla implementation). Its visual interfaceallows on-the-fly computation and manipulation of the mapper graph based onuser-specified parameters and supports the addition of new analysis moduleswith a few lines of code. Mapper Interactive makes the mapper algorithmaccessible to nonspecialists and accelerates topological analytics workflows.

Mapper Interactive: A Scalable, Extendable, and Interactive Toolbox for the Visual Exploration of High-Dimensional Data