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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2021/9/3
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인용 양식

Kathrin Viol (2026). Pattern Transition Detection Algorithm (PTDA) (https://kr.mathworks.com/matlabcentral/fileexchange/80380-pattern-transition-detection-algorithm-ptda), MATLAB Central File Exchange. 검색 날짜: .

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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)
- multiple variables of the same system can be assessed together, resulting in an overall transition point for the whole system
- added visualization for the results
- added example dataset
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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

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