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Mapper Interactive: A Scalable, Extendable, and Interactive Toolbox for the Visual Exploration of High-Dimensional Data (2011.03209v2)

Published 6 Nov 2020 in cs.CG, cs.GR, and cs.HC

Abstract: 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.

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Authors (5)
  1. Youjia Zhou (10 papers)
  2. Nithin Chalapathi (4 papers)
  3. Archit Rathore (5 papers)
  4. Yaodong Zhao (3 papers)
  5. Bei Wang (102 papers)
Citations (17)

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