Cargando…
Density Peaks Clustering by Zero-Pointed Samples of Regional Group Borders
Density peaks clustering algorithm (DPC) has attracted the attention of many scholars because of its multiple advantages, including efficiently determining cluster centers, a lower number of parameters, no iterations, and no border noise. However, DPC does not provide a reliable and specific selecti...
| Autores principales: | , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Hindawi
2020
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7383349/ https://www.ncbi.nlm.nih.gov/pubmed/32733548 http://dx.doi.org/10.1155/2020/8891778 |