Publication | Closed Access

Practical method for determining the minimum embedding dimension of a scalar time series

EngineeringMachine LearningData MiningScalar Time SeriesMinimum Embedding DimensionHigher Dimensional ProblemMultilinear Subspace LearningPractical MethodDimensionality ReductionNonlinear Dimensionality ReductionFunctional Data AnalysisNonlinear Time Series