Robust and rapid clustering of time series. ROCKA is a clustering method for large-scale time series. It aims to tackle the challenges such as noises, anomalies, phase shifts and amplitude differences. It consists of four steps: preprocessing, baseline extraction, clustering and assignment.
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Robust and rapid clustering of time series
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