U.S. Department of Energy

Pacific Northwest National Laboratory

qFeature

qFeature is an R package for extracting features from continuous or discrete time series. These features can then be used as inputs to multivariate statistical procedures like clustering, dimensionality reduction, and classification. qFeature constructs the features by using moving windows of regression fits for continuous variables and by summarizing the duration and transistion features of discrete variables. This is a high-speed implementation of the feature extraction methods developed by Brett Amidan and Tom Ferryman.

Additional Staff: 
Lucas Tate, Ryan Butner, Brett Amidan, Tom Ferryman
Principle Investigator: 
| Pacific Northwest National Laboratory