Clustering Time Series Using Unsupervised-Shapelets


Time series clustering has become an increasingly important research topic over the past decade. Most existing methods for time series clustering rely on distances calculated from the entire raw data using the Euclidean distance or Dynamic Time Warping distance as the distance measure. However, the presence of significant noise, dropouts, or extraneous data… (More)
DOI: 10.1109/ICDM.2012.26


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