Generating Artificial Sensor Data for the Comparison of Unsupervised Machine Learning Methods

In the field of Cyber-Physical Systems (CPS), there is a large number of machine learning methods, and their intrinsic hyper-parameters are hugely varied. Since no agreed-on datasets for CPS exist, developers of new algorithms are forced to define their own benchmarks. This leads to a large number o...

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Detalles Bibliográficos
Autores principales: Zimmering, Bernd, Niggemann, Oliver, Hasterok, Constanze, Pfannstiel, Erik, Ramming, Dario, Pfrommer, Julius
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8037210/
https://www.ncbi.nlm.nih.gov/pubmed/33808459
http://dx.doi.org/10.3390/s21072397

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8037210/
https://www.ncbi.nlm.nih.gov/pubmed/33808459
http://dx.doi.org/10.3390/s21072397

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