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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...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
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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 |