$k$-Means Clustering for Persistent Homology

1 code implementation • 18 Oct 2022 • Yueqi Cao, Prudence Leung, Anthea Monod

Persistent homology is a methodology central to topological data analysis that extracts and summarizes the topological features within a dataset as a persistence diagram; it has recently gained much popularity from its myriad successful applications to many domains.

Clustering Topological Data Analysis