S-RASTER: contraction clustering for evolving data streams
Journal article, 2020
Clustering
Big data analytics
Unsupervised learning
Big data
Machine learning
Stream processing
Author
Gregor Ulm
Fraunhofer-Chalmers Centre
Fraunhofer Center for Machine Learning
Simon Smith
Fraunhofer Center for Machine Learning
Fraunhofer-Chalmers Centre
Adrian Nilsson
Fraunhofer Center for Machine Learning
Fraunhofer-Chalmers Centre
Emil Gustavsson
Fraunhofer-Chalmers Centre
Fraunhofer Center for Machine Learning
Mats Jirstrand
Fraunhofer Center for Machine Learning
Fraunhofer-Chalmers Centre
Journal of Big Data
2196-1115 (eISSN)
Vol. 7 1 62Subject Categories
Computer Engineering
Information Science
Computer Systems
DOI
10.1186/s40537-020-00336-3