Proper orthogonal decomposition methods for the analysis of real-time data: Exploring peak clustering in a secondhand smoke exposure intervention
A POD/k-means clustering algorithm classified time-series peaks into one of two empirically defined classes. A behavioral intervention increased the proportion of peaks from the class associated with shorter durations. Distinguishing physical properties of the peaks were identified with >60% accuracy.
proper orthogonal decomposition secondhand smoke k-means dylos monitor real-time measurement