A Comprehensive Survey on Clustering Algorithms: Concepts, Taxonomy with Nature-Inspired Meta-Heuristic Approaches and Performance Metrics

Yuvaraj M, Sivaprakash S

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DOI: 10.21203/rs.3.rs-8771280/v1
Published: 2026-03-06
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Publisher: Springer Science and Business Media LLC
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Cite this work

BibTeX

@article{allodium:10.21203/rs.3.rs-8771280/v1,
  title = {A Comprehensive Survey on Clustering Algorithms: Concepts, Taxonomy with Nature-Inspired Meta-Heuristic Approaches and Performance Metrics},
  author = {Yuvaraj M and Sivaprakash S},
  year = {2026},
  doi = {10.21203/rs.3.rs-8771280/v1},
  url = {https://doi.org/10.21203/rs.3.rs-8771280/v1}
}

RIS

TY  - JOUR
TI  - A Comprehensive Survey on Clustering Algorithms: Concepts, Taxonomy with Nature-Inspired Meta-Heuristic Approaches and Performance Metrics
AU  - Yuvaraj M
AU  - Sivaprakash S
PY  - 2026
DO  - 10.21203/rs.3.rs-8771280/v1
UR  - https://doi.org/10.21203/rs.3.rs-8771280/v1
ER  -

APA

M, Y., & S, S. (2026). A Comprehensive Survey on Clustering Algorithms: Concepts, Taxonomy with Nature-Inspired Meta-Heuristic Approaches and Performance Metrics. https://doi.org/10.21203/rs.3.rs-8771280/v1

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crossref · retrieved 2026-11-10T13:48:42.652Z