scipy - Performing Decomposition on Sparse Matrices in Python -


i'm trying decomposing signals in components (matrix factorization) in large sparse matrix in python using sklearn library.

i made use of scipy's scipy.sparse.csc_matrix construct matrix of data. i'm unable perform analysis such factor analysis or independent component analysis. thing i'm able use truncatedsvd or scipy's scipy.sparse.linalg.svds , perform pca.

does know work-arounds doing ica or fa on sparse matrix in python? appreciated! thanks.

even input matrix sparse output not sparse matrix. if system not support dense matrix neither results not supported


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