sparse matrix

Terms from Statistics for HCI: Making Sense of Quantitative Data

From entry sparse matrix in glossary Artificial Intelligence: humans at the heart of algorithms

A matrix is called sparse if most of its entries are zero (or empty). Sparse matrices can be stored efficiently by only recording the entries with actual values. However, this can make algorithms to deal with sparse matrices more complicated.

Also used in hcistats2e: Chap. 11: page 131