Correction to: A unified view of density-based methods for semi-supervised clustering and classification

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Correction to: A unified view of density-based methods for semi-supervised clustering and classification Jadson Castro Gertrudes1 · Arthur Zimek2 · Jörg Sander3 · Ricardo J. G. B. Campello4 Received: 15 July 2020 / Accepted: 20 July 2020 © The Author(s) 2020

Correction to: Data Mining and Knowledge Discovery (2019) 33:1894–1952 https://doi.org/10.1007/s10618-019-00651-1 The article, A unified view of density-based methods for semi-supervised clustering and classification, written by Jadson Castro Gertrudes, Arthur Zimek, Jörg Sander, Ricardo J. G. B. Campello, was originally published electronically on the publisher’s internet portal (currently Springer-Link) on 23 August 2019 without open access. With the author(s)’ decision to opt for Open Choice, the copyright of the article changed on 30 July 2020 to © The Author(s) 2020 and the article is forthwith distributed under the terms of copyright. The original article has been corrected.

The original article can be found online at https://doi.org/10.1007/s10618-019-00651-1.

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Jadson Castro Gertrudes [email protected] Arthur Zimek [email protected] Jörg Sander [email protected] Ricardo J. G. B. Campello [email protected]

1

SCC/ICMC/USP, University of São Paulo, Avenue Trabalhador São-carlense, 400 - Center, São Carlos, SP 13566-590, Brazil

2

IMADA, University of Southern Denmark, Campusvej 55, 5230 Odense M, Denmark

3

Department of Computing Science, University of Alberta 1-001 CCIS, Edmonton, AB T6G-2E9, Canada

4

School of Mathematical and Physical Sciences, University of Newcastle, University Drive, Callaghan, NSW 2308, Australia

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J. C. Getrudes et al.

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. Publisher’s Note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

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