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Conference papers
Progressive and Iterative Approaches for Time Series Averaging
Abstract : 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).
https://hal.archives-ouvertes.fr/hal-01208451
Contributor : Ahlame Douzal <>
Submitted on : Friday, October 2, 2015 - 3:48:17 PM
Last modification on : Monday, April 20, 2020 - 11:24:01 AM
Contributor : Ahlame Douzal <>
Submitted on : Friday, October 2, 2015 - 3:48:17 PM
Last modification on : Monday, April 20, 2020 - 11:24:01 AM
