
ep26 - Bart De Moor: subspace identification, linear & multilinear algebra, quantum information, ML
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Clustering Time Series: The Role of Temporal Correlations
This chapter explores distance measures in clustering time series with a focus on ARMA models, emphasizing the significance of temporal correlations. It critiques the treatment of time series as mere vectors and discusses how understanding subspace angles can enhance clustering algorithm performance.
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