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A novel bidirectional clustering algorithm based on local density
With the widely application of cluster analysis, the number of clusters is gradually increasing, as is the difficulty in selecting the judgment indicators of cluster numbers. Also, small clusters are crucial to discovering the extreme characteristics of data samples, but current clustering algorithm...
Autores principales: | Lyu, Baicheng, Wu, Wenhua, Hu, Zhiqiang |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8271010/ https://www.ncbi.nlm.nih.gov/pubmed/34244541 http://dx.doi.org/10.1038/s41598-021-93244-2 |
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