2D–EM clustering approach for high-dimensional data through folding feature vectors

BACKGROUND: Clustering methods are becoming widely utilized in biomedical research where the volume and complexity of data is rapidly increasing. Unsupervised clustering of patient information can reveal distinct phenotype groups with different underlying mechanism, risk prognosis and treatment resp...

Descripción completa

Detalles Bibliográficos
Autores principales: Sharma, Alok, Kamola, Piotr J., Tsunoda, Tatsuhiko
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5751765/
https://www.ncbi.nlm.nih.gov/pubmed/29297298
http://dx.doi.org/10.1186/s12859-017-1970-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5751765/
https://www.ncbi.nlm.nih.gov/pubmed/29297298
http://dx.doi.org/10.1186/s12859-017-1970-8

Ejemplares similares