Dimensionality Reduction and Subspace Clustering in Mixed Reality for Condition Monitoring of High-Dimensional Production Data †

Visual analytics are becoming increasingly important in the light of big data and related scenarios. Along this trend, the field of immersive analytics has been variously furthered as it is able to provide sophisticated visual data analytics on one hand, while preserving user-friendliness on the oth...

Descripción completa

Detalles Bibliográficos
Autores principales: Hoppenstedt, Burkhard, Reichert, Manfred, Kammerer, Klaus, Probst, Thomas, Schlee, Winfried, Spiliopoulou, Myra, Pryss, Rüdiger
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6767007/
https://www.ncbi.nlm.nih.gov/pubmed/31510064
http://dx.doi.org/10.3390/s19183903

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6767007/
https://www.ncbi.nlm.nih.gov/pubmed/31510064
http://dx.doi.org/10.3390/s19183903

Ejemplares similares