Random projections are a mathematical technique used to reduce the dimensionality of data while preserving its essential geometric properties. By projecting high-dimensional data into a lower-dimensional space using random linear transformations, one can maintain the distances between points with high probability. This technique is particularly useful in high-dimensional approximation problems, where it helps to simplify computations and enhance the efficiency of algorithms without significantly losing information.
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