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Boosting k-means clustering with symbiotic organisms search for automatic clustering problems

Kmeans clustering algorithm is an iterative unsupervised learning algorithm that tries to partition the given dataset into k pre-defined distinct non-overlapping clusters where each data point belongs to only one group. However, its performance is affected by its sensitivity to the initial cluster c...

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Detalles Bibliográficos
Autores principales: Ikotun, Abiodun M., Ezugwu, Absalom E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9371361/
https://www.ncbi.nlm.nih.gov/pubmed/35951672
http://dx.doi.org/10.1371/journal.pone.0272861

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