Cargando…
Modal clustering of matrix-variate data
The nonparametric formulation of density-based clustering, known as modal clustering, draws a correspondence between groups and the attraction domains of the modes of the density function underlying the data. Its probabilistic foundation allows for a natural, yet not trivial, generalization of the a...
Autores principales: | Ferraccioli, Federico, Menardi, Giovanna |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9069429/ https://www.ncbi.nlm.nih.gov/pubmed/35529071 http://dx.doi.org/10.1007/s11634-022-00501-x |
Ejemplares similares
-
Co-clustering of Time-Dependent Data via the Shape Invariant Model
por: Casa, Alessandro, et al.
Publicado: (2021) -
How many data clusters are in the Galaxy data set?: Bayesian cluster analysis in action
por: Grün, Bettina, et al.
Publicado: (2021) -
Androgen receptor protein is down-regulated by basic fibroblast growth factor in prostate cancer cells
por: Cronauer, M V, et al.
Publicado: (2000) -
Classification algorithms with multi-modal data fusion could accurately distinguish neuromyelitis optica from multiple sclerosis
por: Eshaghi, Arman, et al.
Publicado: (2015) -
Multi-modal MRI of mild traumatic brain injury
por: Narayana, Ponnada A., et al.
Publicado: (2014)