fchamroukhi/SaMUraiS
StAtistical Models for the UnsupeRvised segmentAion of tIme-Series
This tool helps researchers, scientists, and data analysts find hidden patterns and changes within complex time-series data. You input a sequence of measurements or observations, and it automatically divides the data into distinct segments or 'regimes,' each with its own characteristic behavior. This is useful for understanding when and how the underlying process generating the data shifts, without needing prior knowledge of those changes.
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Use this if you have univariate or multivariate time-series data and need to automatically identify different phases or operating conditions within it.
Not ideal if your data is not sequential or if you already know the exact points where changes in your data occur.
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R
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Last pushed
Jan 22, 2020
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