TY  - GENERIC
DO  - 10.20944/preprints202008.0254.v1
UR  - http://dx.doi.org/10.20944/preprints202008.0254.v1
TI  - Unsupervised Feature Selection Using Recursive k-Means Silhouette Elimination (RkSE): A Two-Scenario Case Study for Fault Classification of High-Dimensional Sensor Data
T2  - Preprints
AU  - Mallak, Ahlam
AU  - Fathi, Madjid
PY  - 2020
DA  - 2020/08/11
PB  - Preprints