Sparse
Sparse refers to a data set or matrix in which most of the elements are zero. In other words, it is a data set that contains very few non-zero values compared to the total number of possible values. Sparse data sets are common in many fields, including natural language processing, image processing, and social network analysis. One of the main advantages of working with sparse data is that it can save memory and computational resources. This is because algorithms can be designed to take advantage of the sparsity of the data, and only perform computations on the non-zero elements. However, working with sparse data can also present challenges, such as the need for specialized algorithms and data structures to efficiently store and manipulate the data.
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