A sparse matrix is a data structure in which not every entry is explicitly represented.
I'm looking for a good (well-tested, fully-featured, and ideally with a nice interface) matrix library for .NET/C#. My main …
.net math matrix sparse-matrixMy data can be viewed as a matrix of 10B entries (100M x 100), which is very sparse (< 1/100 * 1/100 of entries …
tensorflow sparse-matrix kerasIn scipy, we can construct a sparse matrix using scipy.sparse.lil_matrix() etc. But the matrix is in 2d. …
python numpy scipy sparse-matrixSuppose I have a NxN matrix M (lil_matrix or csr_matrix) from scipy.sparse, and I want to make …
python scipy sparse-matrixI have built a small code that I want to use for solving eigenvalue problems involving large sparse matrices. It's …
python math linear-algebra sparse-matrixAfter learning about the options for working with sparse matrices in R, I want to use the Matrix package to …
r default-value sparse-matrix naI am using truncated SVD from scikit-learn package. In the definition of SVD, an original matrix A is approxmated as …
python scipy scikit-learn sparse-matrix svdI am trying to apply PCA on huge sparse matrix, in the following link it says that randomizedPCA of sklearn …
python scikit-learn sparse-matrix pca svdThe SciPy Sparse Matrix tutorial is very good -- but it actually leaves the section on slicing un(der)developed (…
python indexing scipy sparse-matrix sliceI'd like to write a function that normalizes the rows of a large sparse matrix (such that they sum to …
python numpy scipy sparse-matrix