Eigenvalue based spectral classification

Piotr Borkowski; Mieczysław A. Kłopotek; Bartłomiej Starosta; Sławomir T. Wierzchoń; Marcin Sydow

doi:10.1371/journal.pone.0283413

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Peer-reviewed

Research Article

Eigenvalue based spectral classification

Piotr Borkowski ,

Contributed equally to this work with: Piotr Borkowski, Mieczysław A. Kłopotek, Bartłomiej Starosta, Sławomir T. Wierzchoń, Marcin Sydow

Roles Data curation, Investigation

Affiliation Institute of Computer Science, Polish Academy of Sciences, Warsaw, Poland
⨯
Mieczysław A. Kłopotek ,

Contributed equally to this work with: Piotr Borkowski, Mieczysław A. Kłopotek, Bartłomiej Starosta, Sławomir T. Wierzchoń, Marcin Sydow

Roles Investigation, Methodology, Project administration, Software

* E-mail: mieczyslaw.klopotek@ipipan.waw.pl

Affiliation Institute of Computer Science, Polish Academy of Sciences, Warsaw, Poland

https://orcid.org/0000-0003-4685-7045

⨯
Bartłomiej Starosta ,

Contributed equally to this work with: Piotr Borkowski, Mieczysław A. Kłopotek, Bartłomiej Starosta, Sławomir T. Wierzchoń, Marcin Sydow

Roles Data curation, Investigation, Software

Affiliation Institute of Computer Science, Polish Academy of Sciences, Warsaw, Poland
⨯
Sławomir T. Wierzchoń ,

Contributed equally to this work with: Piotr Borkowski, Mieczysław A. Kłopotek, Bartłomiej Starosta, Sławomir T. Wierzchoń, Marcin Sydow

Roles Investigation, Methodology

Affiliation Institute of Computer Science, Polish Academy of Sciences, Warsaw, Poland
⨯
Marcin Sydow

Contributed equally to this work with: Piotr Borkowski, Mieczysław A. Kłopotek, Bartłomiej Starosta, Sławomir T. Wierzchoń, Marcin Sydow

Roles Data curation, Investigation, Validation

Current address: Polish-Japanese Academy of Information Technology, Warsaw, Poland

Affiliation Institute of Computer Science, Polish Academy of Sciences, Warsaw, Poland
⨯

Eigenvalue based spectral classification

Piotr Borkowski,
Mieczysław A. Kłopotek,
Bartłomiej Starosta,
Sławomir T. Wierzchoń,
Marcin Sydow

Published: April 6, 2023
https://doi.org/10.1371/journal.pone.0283413

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Spectral clustering
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