darfix.gui.blindSourceSeparationWidget.Method#

class darfix.gui.blindSourceSeparationWidget.Method(value)[source]#

Bases: Enum

Different blind source separation approaches that can be applied

NICA = 'Find components independent from each other and non-negative'#
NICA_NMF = 'Apply Non-negative ICA followed by NMF'#
NMF = 'Non-negative matrix factorization factorizes the data matrix into \ntwo matrices, with the property that all three matrices have no negative elements'#
PCA = 'The process of computing the principal components \nand using them to perform a change of basis on the data'#