mlsanityData to 7 Oct 2026

Topological data analysis and clustering

arXiv 2201.09054 ↗First posted 22 Jan 2022math.AT cs.LGcited by 2

Not on the map. Why?

Abstract (arXiv)

Clustering is one of the most common tasks of Machine Learning. In this paper we examine how ideas from topology can be used to improve clustering techniques.

Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). Builds on 1 of its 32 references that are in the map. First posted on arXiv 22 Jan 2022.

Builds on

1 of 32 references.

References · 1

  1. 2013Spectral Sequences, Exact Couples and Persistent Homology of filtrationscited by 1

Built on by

Cited by year

Citing papers per year: 2022: 1; 2023: 0; 2024: 0; 2025: 1.

2 papers.

  1. 2022k-Means Clustering for Persistent Homologycited by 1
  2. 2025Topology-Driven Clustering: Enhancing Performance with Betti Number Filtrationcited by 0