= Time-series segmentation
{wiki=Time-series_segmentation}
Time-series segmentation is a technique used to divide a continuous time-series dataset into distinct segments or intervals based on certain criteria or characteristics. The objective of segmentation is to identify points in the data where significant changes occur, allowing for better analysis and understanding of the underlying patterns and trends. Segmentation can be performed based on various factors, including: 1. **Change Points**: Identifying points in the time series where the statistical properties of the data change, such as mean, variance, or trend.
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