Progressive and Iterative Approaches for Time Series Averaging

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Averaging a set of time series is a major topic for many temporal data mining tasks as summarization, extracting prototype or clustering. Time series averaging should deal with the tricky multiple temporal alignment problem; a still challenging issue in various domains. This work compares the major progressive and iterative averaging time series methods under dynamic time warping (dtw).

Saeid Soheily-Khah, Ahlame Douzal Chouakria, &Eacu

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Data Mining | PKDD 2015 |

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Added	16 Apr 2016
Updated	16 Apr 2016
Type	Journal
Year	2015
Where	PKDD
Authors	Saeid Soheily-Khah, Ahlame Douzal Chouakria, Éric Gaussier

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Progressive and Iterative Approaches for Time Series Averaging

Data Mining | PKDD 2015 |

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