A Riemannian geometric framework for manifold learning of non-Euclidean data
type: Item
instance of: scholarly article
title: A Riemannian geometric framework for manifold learning of non-Euclidean data
author: Cheongjae Jang
author: Yung-Kyun Noh
author: Frank Chongwoo Park
published in: Advances in Data Analysis and Classification. ADAC
publication date: 2021-11-24T00:00:00Z
Mathematics Subject Classification ID: 53A35
Mathematics Subject Classification ID: 53B21
Mathematics Subject Classification ID: 58C35
Mathematics Subject Classification ID: 58E20
zbMATH DE Number: 7433034
zbMATH Keywords: manifold learning
zbMATH Keywords: non-euclidean data
zbMATH Keywords: Riemannian geometry
zbMATH Keywords: distortion
zbMATH Keywords: harmonic map
Wikidata QID: Q114222065
MaRDI profile type: Publication
full work available at URL: s11634-020-00426-3
OpenAlex ID: W3108701536
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DOI: 10.1007/S11634-020-00426-3
description: scientific article; zbMATH DE number 7433034