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A generalized fuzzy clustering framework for incomplete data by integrating feature weighted and kernel learning
Missing data presents a challenge to clustering algorithms, as traditional methods tend to pad incomplete data first before clustering. To combine the two processes of padding and clustering and improve the clustering accuracy, a generalized fuzzy clustering framework is proposed based on optimal co...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
PeerJ Inc.
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10588703/ https://www.ncbi.nlm.nih.gov/pubmed/37869452 http://dx.doi.org/10.7717/peerj-cs.1600 |