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Ball mapper: a shape summary for topological data analysis

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arxiv 1901.07410 v1 pith:NDX7Y2BS submitted 2019-01-22 math.AT

classification math.AT
keywords dataanalysisemphmappershapetopologicalalgorithmapplied
verification ladder T0 review T1 audit T2 compute T3 formal
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Topological data analysis provides a collection of tools to encapsulate and summarize the shape of data. Currently it is mainly restricted to \emph{mapper algorithm} and \emph{persistent homology}. In this paper we introduce new mapper--inspired descriptor that can be applied for exploratory data analysis.

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Cited by 3 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Explainable Mapper: Charting LLM Embedding Spaces Using Perturbation-Based Explanation and Verification Agents

    cs.CG 2025-07 conditional novelty 6.0 of 10

    A visual analytics workspace uses LLM explanation and verification agents to semi-automatically annotate and perturbation-check mapper graph elements of BERT embeddings, replicating known layer-wise linguistic patterns.

  2. A Three Axis Evaluation Framework for Mapper Algorithms

    math.AT 2026-06 unverdicted novelty 5.0 of 10

    The paper reviews a three-axis evaluation framework (stability, cluster quality, topological shape preservation) for Mapper algorithms, analyzes variants on synthetic and UCI Digits data, and finds the axes often conf...

  3. Exact and Approximate Range Queries for Efficient Ball Mapper Construction

    cs.CG 2026-01 conditional novelty 3.0 of 10

    Ball tree and FAISS range-query acceleration speeds up Ball Mapper cover construction by up to two orders of magnitude versus the reference implementation, at the cost of higher memory use.

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