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An improved K‐means algorithm for big data
Abstract An improved version of K‐means clustering algorithm that can be applied to big data through lower processing loads with acceptable precision rates is presented here. In this method, the distances from one point to its two nearest centroids were used along with their variations in the last t...
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| Main Authors: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Wiley
2022-02-01
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| Colecção: | IET Software |
| Assuntos: | |
| Acesso em linha: | https://doi.org/10.1049/sfw2.12032 |
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