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Procrustes-based distances for exploring between-matrices similarity
Work
Year: 2023
Type: article
Abstract: The statistical shape analysis called Procrustes analysis minimizes the Frobenius distance between matrices by similarity transformations. The method returns a set of optimal orthogonal matrices, whi... more
Source: Statistical Methods & Applications
Authors Angela Andreella, Riccardo De Santis, Anna Vesely, Livio Finos
Institutions Ca' Foscari University of Venice, University of Padua, University of Bremen
Cites: 33
Cited by: 4
Related to: 10
FWCI: 2.815
Citation percentile (by year/subfield): 54.25
Topic: Morphological variations and asymmetry
Subfield: Geometry and Topology
Field: Mathematics
Domain: Physical Sciences
Open Access status: hybrid
APC paid (est): $2,990
Funders Università Ca' Foscari Venezia, Università degli Studi di Padova
Grant IDS PON 2014-2020/DM 106,