# catch22

- [Distribution shape](/catch22-features/catch22/the-dn_histogrammode-features.md): The DN\_HistogramMode features measure properties of the shape of the distribution of time-series values.
- [Extreme event timing](/catch22-features/catch22/the-dn_outlierinclude-features.md): The DN\_OutlierInclude features measure the timing of extreme events relative to the start and end of the time series
- [Linear autocorrelation structure](/catch22-features/catch22/first1e_acf_tau.md): Features quantifying linear autocorrelation structure (from the autocorrelation function or power spectrum)
- [Nonlinear autocorrelation](/catch22-features/catch22/nonlinear-autocorrelation-statistics.md): These features capture nonlinear autocorrelation properties of a time series
- [Symbolic](/catch22-features/catch22/symbolic.md): Features based on a discrete symbolization of real-valued time-series data
- [Incremental differences](/catch22-features/catch22/incremental-differences.md): Properties of the 1-point incremental differences of the time series
- [Simple forecasting](/catch22-features/catch22/the-simple-forecasting-based-features.md): Feature of a 3-point mean forecast
- [Self-affine scaling](/catch22-features/catch22/self-affine-scaling.md)
- [Other](/catch22-features/catch22/other.md)