Publication | Open Access

Estimating the mixing matrix in Sparse Component Analysis (SCA) based on partial k-dimensional subspace clustering

EngineeringData SciencePattern RecognitionMixture AnalysisMultilinear Subspace LearningSignal ProcessingIndependent Component AnalysisSparse Component AnalysisDimensionality ReductionPrincipal Component AnalysisFunctional Data AnalysisStatistics