Independent Components Analysis with the JADE algorithm

TrAC - Trends in Analytical Chemistry

Volumn 50, Issue , 2013, Pages 22-32

  Rutledge, D N ^a,b   Jouan Rimbaud Bouveresse, D ^a,b  

^a Paris Saclay University   (France)

^b AGROPARISTECH   (France)

Author keywords

Chemometrics; Complex data set; Independence; Independent Components Analysis (ICA); Interpretable signal; Joint Approximate Diagonalization of Eigenmatrices (JADE); Multiway data array; Parallel Factor Analysis (PARAFAC); Principal Components Analysis (PCA); Three way data

Indexed keywords

ALGORITHMS; FACTOR ANALYSIS; MULTIVARIANT ANALYSIS; PRINCIPAL COMPONENT ANALYSIS; SILICATE MINERALS;

CHEMOMETRICS; COMPLEX DATASETS; DATA ARRAY; INDEPENDENCE; INDEPENDENT COMPONENTS ANALYSIS; JOINT APPROXIMATE DIAGONALIZATION OF EIGEN-MATRICES; PARALLEL FACTOR ANALYSIS; PRINCIPAL COMPONENTS ANALYSIS; THREE WAY DATA;

INDEPENDENT COMPONENT ANALYSIS;

ALGORITHM; ANALYTICAL PARAMETERS; CALCULATION; CHEMOMETRICS; FACTORIAL ANALYSIS; INDEPENDENT COMPONENTS ANALYSIS; INTERMETHOD COMPARISON; JOINT APPROXIMATE DIAGONALIZATION OF EIGENMATRICES ALGORITHM; PARALLEL FACTOR ANALYSIS; PERFORMANCE; PRINCIPAL COMPONENT ANALYSIS; PRIORITY JOURNAL; REVIEW; STATISTICAL ANALYSIS;

EID: 84879467778     PISSN: 01659936     EISSN: 18793142     Source Type: Journal    
DOI: 10.1016/j.trac.2013.03.013     Document Type: Review

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