Exploring persistent local homology in topological data analysis
Brittany Terese Fasy, Bei Wang · 2016
Topological data analysis (TDA) has rapidly grown in popularity in recent years. One of the emerging tools is persistent local homology, which can be used to extract local structure from a dataset. In this paper, we provide a survey that explores this new tool, emphasizing its use in data analysis.