Due to an error at the publisher two symbol errors were introduced. 1. In Section 3.1, in list item 1 “Data samples that are similar in a sufficiently large amount of independent dimensions (N=) tend to be similar also when considering an additional independent dimension (N + 1).” the = symbol should be replaced by ?. 2. In Section 3.2.1, paragraph 3, in “Conversely, the magnitude of a source would not play any role when trying to identify the “most similar” data points in the N-dimensional space, as (Equation presented). IOP Publishing sincerely regrets these errors.

Erratum: Identification of single spectral lines in large spectroscopic surveys using UMLAUT: An unsupervised machine-learning algorithm based on unbiased topology (Astrophysical Journal, Supplement Series (2021) 257 (67) DOI: 10.3847/1538-4365/ac250c)

Baronchelli I.;Morselli L.;Vaccari M.;Rodighiero G.;Baruffolo A.;Mancini C.;
2022

Abstract

Due to an error at the publisher two symbol errors were introduced. 1. In Section 3.1, in list item 1 “Data samples that are similar in a sufficiently large amount of independent dimensions (N=) tend to be similar also when considering an additional independent dimension (N + 1).” the = symbol should be replaced by ?. 2. In Section 3.2.1, paragraph 3, in “Conversely, the magnitude of a source would not play any role when trying to identify the “most similar” data points in the N-dimensional space, as (Equation presented). IOP Publishing sincerely regrets these errors.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11577/3467058
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