Pattern Transition Detection Algorithm (PTDA)
This algorithm is an extension of the change point analysis to detect general changes in the pattern of a time series.
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Cite As
Kathrin Viol (2026). Pattern Transition Detection Algorithm (PTDA) (https://uk.mathworks.com/matlabcentral/fileexchange/80380-pattern-transition-detection-algorithm-ptda), MATLAB Central File Exchange. Retrieved .
General Information
- Version 1.1.3 (997 KB)
MATLAB Release Compatibility
- Compatible with R2018b
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.1.3 | Bugfix of the entry and statistics of the overall transition point if more than one time series is entered. |
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| 1.1.2 | Bug fixed for calculating the statistics. |
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| 1.1.1 | corrected file name |
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| 1.1.0 | - several methodological refinements (see Description)
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| 1.0.2 | Output text changed from "change point" to "transition point". |
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| 1.0.1 | Minor fixing: The algorithm produced an error message and aborted when a time series consists of 1 or 2 values only. This was fixed by omitting the calculation of the Dynamic Complexity in those cases, accompanied by a corresponding message. |
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| 1.0.0 |
