Classification at the accuracy limit: facing the problem of data ambiguity

Abstract Data classification, the process of analyzing data and organizing it into categories or clusters, is a fundamental computing task of natural and artificial information processing systems. Both supervised classification and unsupervised clustering work best when the input vectors are distrib...

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Bibliographic Details
Main Authors: Claus Metzner, Achim Schilling, Maximilian Traxdorf, Konstantin Tziridis, Andreas Maier, Holger Schulze, Patrick Krauss
Format: Article
Language:English
Published: Nature Portfolio 2022-12-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-022-26498-z