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Divergence-Based Locally Weighted Ensemble Clustering with Dictionary Learning and L(2,1)-Norm
Accurate clustering is a challenging task with unlabeled data. Ensemble clustering aims to combine sets of base clusterings to obtain a better and more stable clustering and has shown its ability to improve clustering accuracy. Dense representation ensemble clustering (DREC) and entropy-based locall...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9601663/ https://www.ncbi.nlm.nih.gov/pubmed/37420344 http://dx.doi.org/10.3390/e24101324 |