Clustering preprocessing to improve time series forecasting

Francisco Martinez Alvarez · AI Communications · 2011

This work proposes a novel general-purpose forecasting algorithm. It first extracts patterns from time series using the information provided by certain clustering techniques, which are applied as a first step of the approach. Moreover, the occurrence

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