Fuzzy Information Discrimination Measures and Their Application to Low Dimensional Embedding Construction in the UMAP Algorithm

Dimensionality reduction techniques are often used by researchers in order to make high dimensional data easier to interpret visually, as data visualization is only possible in low dimensional spaces. Recent research in nonlinear dimensionality reduction introduced many effective algorithms, includi...

Descripción completa

Detalles Bibliográficos
Autores principales: Demidova, Liliya A., Gorchakov, Artyom V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9028155/
https://www.ncbi.nlm.nih.gov/pubmed/35448241
http://dx.doi.org/10.3390/jimaging8040113

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9028155/
https://www.ncbi.nlm.nih.gov/pubmed/35448241
http://dx.doi.org/10.3390/jimaging8040113

Ejemplares similares