catch22 is a collection of 22 time-series features coded in C that can be run
from Python, R, Matlab, and Julia. The catch22 features are a high-performing
subset of the over 7000 features in hctsa.
Features were selected based on their classification performance across a
collection of 93 real-world time-series classification problems, as described
in our open-access paper:
- Lubba et al. (2019). catch22: CAnonical Time-series CHaracteristics
(https://doi.org/10.1007/s10618-019-00647-x)
The computational pipeline used to generate the catch22 feature set is in the
op_importance (https://github.com/chlubba/op_importance) repository.
For catch22-related information and resources, including a list of publications
using catch22, see the catch22 wiki (https://github.com/chlubba/catch22/wiki).
