A Survey of Vectorization Methods in Topological Data Analysis

Fuente: arXiv
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Autori principali: Ali, Dashti, Asaad, Aras, Jimenez, Maria-Jose, Nanda, Vidit, Paluzo-Hidalgo, Eduardo, Soriano-Trigueros, Manuel
Natura: Preprint
Pubblicazione: 2022
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author Ali, Dashti
Asaad, Aras
Jimenez, Maria-Jose
Nanda, Vidit
Paluzo-Hidalgo, Eduardo
Soriano-Trigueros, Manuel
author_facet Ali, Dashti
Asaad, Aras
Jimenez, Maria-Jose
Nanda, Vidit
Paluzo-Hidalgo, Eduardo
Soriano-Trigueros, Manuel
contents Attempts to incorporate topological information in supervised learning tasks have resulted in the creation of several techniques for vectorizing persistent homology barcodes. In this paper, we study thirteen such methods. Besides describing an organizational framework for these methods, we comprehensively benchmark them against three well-known classification tasks. Surprisingly, we discover that the best-performing method is a simple vectorization, which consists only of a few elementary summary statistics. Finally, we provide a convenient web application which has been designed to facilitate exploration and experimentation with various vectorization methods.
format Preprint
id arxiv_https___arxiv_org_abs_2212_09703
institution arXiv
publishDate 2022
record_format arxiv
spellingShingle A Survey of Vectorization Methods in Topological Data Analysis
Ali, Dashti
Asaad, Aras
Jimenez, Maria-Jose
Nanda, Vidit
Paluzo-Hidalgo, Eduardo
Soriano-Trigueros, Manuel
Algebraic Topology
Attempts to incorporate topological information in supervised learning tasks have resulted in the creation of several techniques for vectorizing persistent homology barcodes. In this paper, we study thirteen such methods. Besides describing an organizational framework for these methods, we comprehensively benchmark them against three well-known classification tasks. Surprisingly, we discover that the best-performing method is a simple vectorization, which consists only of a few elementary summary statistics. Finally, we provide a convenient web application which has been designed to facilitate exploration and experimentation with various vectorization methods.
title A Survey of Vectorization Methods in Topological Data Analysis
topic Algebraic Topology
url https://arxiv.org/abs/2212.09703