Cargando…
A multiple kernel density clustering algorithm for incomplete datasets in bioinformatics
BACKGROUND: While there are a large number of bioinformatics datasets for clustering, many of them are incomplete, i.e., missing attribute values in some data samples needed by clustering algorithms. A variety of clustering algorithms have been proposed in the past years, but they usually are limite...
| Autores principales: | , , , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2018
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6249732/ https://www.ncbi.nlm.nih.gov/pubmed/30463619 http://dx.doi.org/10.1186/s12918-018-0630-6 |