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Open Access

Peer-reviewed

Research Article

Balancing effort and benefit of K-means clustering algorithms in Big Data realms

Joaquín Pérez-Ortega ,

Contributed equally to this work with: Joaquín Pérez-Ortega, Nelva Nely Almanza-Ortega, David Romero

Roles Conceptualization, Investigation, Writing – original draft, Writing – review & editing

* E-mail: jpo_cenidet@yahoo.com.mx

Affiliation Departamento de Ciencias Computacionales/Centro Nacional de Investigación y Desarrollo Tecnológico, Tecnológico Nacional de México, Cuernavaca, Morelos, Mexico

http://orcid.org/0000-0002-5138-7984

⨯
Nelva Nely Almanza-Ortega ,

Contributed equally to this work with: Joaquín Pérez-Ortega, Nelva Nely Almanza-Ortega, David Romero

Roles Conceptualization, Formal analysis, Investigation, Methodology, Software, Validation, Visualization, Writing – original draft, Writing – review & editing

Affiliation Departamento de Ciencias Computacionales/Centro Nacional de Investigación y Desarrollo Tecnológico, Tecnológico Nacional de México, Cuernavaca, Morelos, Mexico
⨯
David Romero

Contributed equally to this work with: Joaquín Pérez-Ortega, Nelva Nely Almanza-Ortega, David Romero

Roles Conceptualization, Formal analysis, Methodology, Supervision, Validation, Writing – original draft, Writing – review & editing

Affiliation Instituto de Matemáticas, Universidad Nacional Autónoma de México, Cuernavaca, Morelos, Mexico
⨯

Balancing effort and benefit of K-means clustering algorithms in Big Data realms

Joaquín Pérez-Ortega,
Nelva Nely Almanza-Ortega,
David Romero

x

Published: September 5, 2018
https://doi.org/10.1371/journal.pone.0201874

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