Hoppenstedt, B.; Reichert, M.; Kammerer, K.; Probst, T.; Schlee, W.; Spiliopoulou, M.; Pryss, R.
Dimensionality Reduction and Subspace Clustering in Mixed Reality for Condition Monitoring of High-Dimensional Production Data. Sensors 2019, 19, 3903.
https://doi.org/10.3390/s19183903
AMA Style
Hoppenstedt B, Reichert M, Kammerer K, Probst T, Schlee W, Spiliopoulou M, Pryss R.
Dimensionality Reduction and Subspace Clustering in Mixed Reality for Condition Monitoring of High-Dimensional Production Data. Sensors. 2019; 19(18):3903.
https://doi.org/10.3390/s19183903
Chicago/Turabian Style
Hoppenstedt, Burkhard, Manfred Reichert, Klaus Kammerer, Thomas Probst, Winfried Schlee, Myra Spiliopoulou, and Rüdiger Pryss.
2019. "Dimensionality Reduction and Subspace Clustering in Mixed Reality for Condition Monitoring of High-Dimensional Production Data" Sensors 19, no. 18: 3903.
https://doi.org/10.3390/s19183903
APA Style
Hoppenstedt, B., Reichert, M., Kammerer, K., Probst, T., Schlee, W., Spiliopoulou, M., & Pryss, R.
(2019). Dimensionality Reduction and Subspace Clustering in Mixed Reality for Condition Monitoring of High-Dimensional Production Data. Sensors, 19(18), 3903.
https://doi.org/10.3390/s19183903