持久性火焰:尺度空间的拓扑不变量

Persistence Flamelets: Topological Invariants for Scale Spaces

Journal of Computational and Graphical Statistics · 2022
被引 1
ABS 3

中文导读

定义了持久性火焰,一种多尺度的持久性景观变体,用于研究数据对象拓扑结构的演化,并提供了R包实现。

Abstract

In recent years there has been noticeable interest in the study of the “shape of data.” Among the many ways a “shape” could be defined, topology is the most general one, as it describes an object in terms of its connectivity structure: connected components (topological features of dimension 0), cycles (features of dimension 1) and so on. There is a growing number of techniques, generally denoted as Topological Data Analysis, or TDA for short, aimed at estimating topological invariants of a fixed object; when we allow this object to change, however, little has been done to investigate the evolution in its topology. In this work we define the Persistence Flamelet, a multiscale version of one of the most popular tool in TDA, the Persistence Landscape. We examine its theoretical properties and we show its performance as both an exploratory and inferential tool. In addition, we provide open source implementation of the objects and methods presented in the R-package pflamelet. Supplementary materials for this article are available online.

拓扑数据分析持久同调计算拓扑尺度空间