Sparsity in a hypercube indicates the amount of empty cells in the cube,and can be a problem when two or more dimensions are related.

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Sparsity in a hypercube indicates the presence of empty cells, which can be a problem when two or more related dimensions are present. For example, if there are many empty cells in a hypercube that represents customer data with dimensions like age and income, it may be difficult to analyze correlations between these variables due to the sparsity.

Sparsity in a Hypercube Indicates the Amount of Empty Cells