A sparse matrix is a matrix that is comprised of mostly zero values. Sparse matrices are distinct from matrices with mostly non-zero values, which are referred to as dense matrices. ... The example has 13 zero values of the 18 elements in the matrix, giving this matrix a sparsity score of 0.722 or about 72%.
What are the types of sparse matrices?
There are seven available sparse matrix types:
- csc_matrix: Compressed Sparse Column format.
- csr_matrix: Compressed Sparse Row format.
- bsr_matrix: Block Sparse Row format.
- lil_matrix: List of Lists format.
- dok_matrix: Dictionary of Keys format.
- coo_matrix: COOrdinate format (aka IJV, triplet format)
How do you find the sparse matrix?
To check whether the given matrix is the sparse matrix or not, we first count the number of zero elements present in the matrix. Then calculate the size of the matrix. For the matrix to be sparse, count of zero elements present in an array must be greater than size/2.
