However, the choice of distance measure in fitness function is very important to evolutionary time series segmentation, for it will affect the convergence of ...
Comparison of Distance Measures in Evolutionary Time Series ... We present three other distance measures for evolutionary time series segmentation.
However, the choice of distance measure in fitness function is very important to evolutionary time series segmentation, for it will affect the convergence of ...
Bibliographic details on Comparison of Distance Measures in Evolutionary Time Series Segmentation.
Aug 30, 2023 · Model- based distances compare the parameters of models fitted to the time series, such as autoregressive moving average (ARMA) models, with the ...
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This paper introduces a new classification method that uses the differential evolution algorithm to feature-wise select, from a pool of distance measures, ...
May 11, 2022 · difficulties involved in using distance measures to compare time series. 30. 3. Our real-world population trends exhibit a common challenge for ...
We demonstrate two different ways of overcoming this challenge, first by selecting distance measures with properties that make them well suited to comparing ...
An evolutionary time series segmentation algorithm that allows a sizeable set of pattern templates to be generated for mining or query
Pattern distance measures the trend similarity of two sequences. Moreover, experiments are conducted to compare the performance of pattern-distance based method ...
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