# catch22 Features

## catch22 Features

- [Overview](https://time-series-features.gitbook.io/catch22-features/master.md)
- [Feature overview table](https://time-series-features.gitbook.io/catch22-features/feature-overview-table.md)
- [Distribution shape](https://time-series-features.gitbook.io/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](https://time-series-features.gitbook.io/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](https://time-series-features.gitbook.io/catch22-features/catch22/first1e_acf_tau.md): Features quantifying linear autocorrelation structure (from the autocorrelation function or power spectrum)
- [Nonlinear autocorrelation](https://time-series-features.gitbook.io/catch22-features/catch22/nonlinear-autocorrelation-statistics.md): These features capture nonlinear autocorrelation properties of a time series
- [Symbolic](https://time-series-features.gitbook.io/catch22-features/catch22/symbolic.md): Features based on a discrete symbolization of real-valued time-series data
- [Incremental differences](https://time-series-features.gitbook.io/catch22-features/catch22/incremental-differences.md): Properties of the 1-point incremental differences of the time series
- [Simple forecasting](https://time-series-features.gitbook.io/catch22-features/catch22/the-simple-forecasting-based-features.md): Feature of a 3-point mean forecast
- [Self-affine scaling](https://time-series-features.gitbook.io/catch22-features/catch22/self-affine-scaling.md)
- [Other](https://time-series-features.gitbook.io/catch22-features/catch22/other.md)