Time Series Cluster Kernel for Learning Similarities between Multivariate Time Series with Missing Data

3 Apr 2017Karl Øyvind MikalsenFilippo Maria BianchiCristina Soguero-RuizRobert Jenssen

Similarity-based approaches represent a promising direction for time series analysis. However, many such methods rely on parameter tuning, and some have shortcomings if the time series are multivariate (MTS), due to dependencies between attributes, or the time series contain missing data... (read more)

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