Supervised Learning Using Homology Stable Rank Kernels

Supervised Learning Using Homology Stable Rank Kernels

Exciting recent developments in Topological Data Analysis have aimed at combining homology-based invariants with Machine Learning. In this article, we use hierarchical stabilization to bridge between persistence and kernel-based methods by introducing the so-called stable rank kernels. A fundamental...

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Bibliographic Details
Main Authors: Jens Agerberg, Ryan Ramanujam, Martina Scolamiero, Wojciech Chachólski
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-07-01
Series:Frontiers in Applied Mathematics and Statistics
Subjects:
topological data analysis
kernel methods
metrics
hierarchical stabilisation
persistent homology
Online Access:https://www.frontiersin.org/articles/10.3389/fams.2021.668046/full

Internet

https://www.frontiersin.org/articles/10.3389/fams.2021.668046/full

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