catch22: CAnonical Time-series CHaracteristics

3 code implementations • 29 Jan 2019 • Carl H. Lubba, Sarab S. Sethi, Philip Knaute, Simon R Schultz, Ben D. Fulcher, Nick S. Jones

Capturing the dynamical properties of time series concisely as interpretable feature vectors can enable efficient clustering and classification for time-series applications across science and industry.

Classification Clustering +5